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All Journal International Journal of Electrical and Computer Engineering Pedagogi: Jurnal Ilmu Pendidikan Jurnal Teknik Sipil dan Perencanaan Jurnal Pendidikan Islam Jurnal Agro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Teknik Sipil Sistemasi: Jurnal Sistem Informasi Rancang Bangun Jurnal Media Pertanian Jurnal Teknologi Pertanian International Journal of Supply Chain Management JURNAL PERTANIAN Jurnal Agroecotania : Publikasi Nasional Ilmu Budidaya Pertanian Journals of Ners Community Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH JISIP: Jurnal Ilmu Sosial dan Pendidikan INTEK: Jurnal Penelitian TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol YARSI Medical Journal Jurnal Aplikasi Akuntansi Jurnal Pengabdian Kepada Masyarakat (Mediteg) Valid Jurnal Ilmiah Buletin Ilmiah Sarjana Teknik Elektro Mekanika: Majalah Ilmiah Mekanika Abdi Masyarakat Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Computing, Engineering, and Design SELODANG MAYANG Jurnal JEETech JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Teknik Informatika (JUTIF) Jurnal Teknisi Bulletin of Information Technology (BIT) Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal Sehat Indonesia (JUSINDO) Jurnal Karya Abdi Masyarakat Jurnal Ilmiah Ilmu Terapan Universitas Jambi Media Bina Ilmiah Journal Industrial Engineering and Management (JUST-ME) Jurnal Fisioterapi dan Kesehatan Indonesia Journal Of Indonesian Social Society Jurnal Ilmiah Multidisiplin Nusantara Fusion : Journal of Research in Engineering, Technology and Applied Sciences Student Journal Nutrition (SJ Nutrition) Jurnal Teknik AMATA
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Methods to Increase Microalgae Carbohydrates for Bioethanol Production Ali, Esam Abu Baker; Idris, Muhammad; Irianto, Irianto; Zulkarnain, Muhammad; Alam, Syah; Amanah, Ayu; Firman, La Ode Muhammad; Mustika, Donny
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 4 No. 2 (2022): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v4i2.301

Abstract

Compared to traditional lignocellulose biomass, microalgae contain little or no lignin. Traditionally, bioethanol production from microalgae undergoes three major steps: (i) pretreatment; (ii) polysaccharides hydrolysis into simple sugars; and (iii) sugar conversion into bioethanol by fermentation. Microalgae convert sunlight, water, and CO2 into algal biomass. Diatoms, green algae, bluegreen algae, and golden algae are four main classes of microalgae, whereas the two main species of algae are filamentous and phytoplankton algae. Microalgae convert solar energy efficiently, producing an enormous number of various metabolites. Many studies have been conducted to convert microalgae into various biofuels, such as biodiesel, bioethanol, biohydrogen, and biogas. However, compared to biodiesel, bioethanol production from algae throughfermentation consumes less energy with its simplified process. Considering these advantages, a number of potential applications for microalgae have been proposed and developed. Despite the promising of bioethanol from microalgae, it still has a number of obstacles, such as the low fermentable carbohydrate content of microalgae. This article intends to discuss the methods to increase microalgae carbohydrates thoroughly. To solve this problem, several nutritional starvations/limitations, like nitrogen and phosphorous starvation, are currently being considered in this paper.
PERANCANGAN STRATEGI PEMASARAN KOPI BISANG DENGAN MENGGUNAKAN METODE BALANCED SCORECARD Suradi, Suradi; Syarifuddin, Rizal; Irianto, Irianto
Journal Industrial Engineering and Management (JUST-ME) Vol. 2 No. 01 (2021): Journal Industrial Engineering and Management (JUST-ME)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (526.441 KB) | DOI: 10.47398/justme.v2i01.11

Abstract

Kopi bisang merupakan salah satu kopi yang memiliki potensi pengembangan usaha. Tujuan penelitian ini adalah untuk mengetahui perancanaan strategi pemasaran kopi bisang dengan menggunakan metode balanced scorecard. Adapun metode analisis data yang digunakan dalam penelitian ini adalah SWOT Balanced scorecard. Hasil penelitian menunjukkan bahwa proses strategi kopi bisang terdapat dua cara untuk meningkatkan internal proses pemasaran yaitu dengan mengurangi biaya operasional dan memaksimalkan penjualan café kopi bisang. pengunjung cafe kopi bisang sebanyak 50 orang. Adapun kuesioner dalam penelitian ini berisi 10 pertanyaan. Deskripsi responden pengunjung cafe kopi bisang yang berumur 18-28 tahun yaitu sebanyak 44%. NPM turunnya nilai penjualan tahun 2019 disebabkan karena banyaknya kompotitor dari setiap tahunnya mempengaruhi jumlah pengunjung setiap tahun sebanyak 52%. ROE menunjukkan bahwa kinerja keuangan dapat dinyatakan baik sebanyak 125%. Produktivitas karyawan CV. lonna indo kopi dengan café kopi bisang dapat diukur dari kinerja pada tahun 2019 pendapatan menurun karena langkahnya bahan baku. Strategi pemasaran keuangan 11%, meningkatkan pendapatan NPM 52,38%, ROE 125%. Membuka boot untuk program unggulan, melakukan promosi dengan marketing baru. Berdasarkan hasil dan pembahasan yang dapat disimpulkan bahwa kinerja perusahaan café kopi bisang dengan menggunakan metode balanced scorecard menghasilkan kinerja baik dilihat dari perspektif keuangan, pelanggan, proses bisnis internal serta pembelajaran pertumbuhan. Bisang coffee is one of the coffees that have the potential for business development. The purpose of this study was to determine the marketing strategy planning for bisang coffee using the balanced scorecard method. The data analysis method used in this study is the SWOT Balanced Scorecard. The results showed that in the strategic process of bisang coffee there are two ways to improve the internal marketing process, namely by reducing operational costs and maximizing sales of bisang coffee cafes. Bisang coffee cafe visitors as many as 50 people. The questionnaire in this study contains 10 questions. Description of respondents who visited Bisang coffee cafe aged 18-28 years was as much as 44%. The NPM decline in sales value in 2019 is due to a large number of competitors each year affecting the number of visitors each year by 52%. ROE shows that the financial performance can be stated as good as much as 125%. Productivity of employees of CV. lonna indo coffee with bisang coffee café can be measured from the performance in 2019, the income decreased due to the step in raw materials. 11% financial marketing strategy, increased NPM revenue by 52.38%, 125% ROE. Opening the boot for the featured program, doing promotions with new marketing. Based on the results and discussion, it can be concluded that the performance of the bisang coffee café company using the balanced scorecard method produces good performance from the perspective of finance, customers, internal business processes, and growth learning.
Liturgical Training and Youth Fellowship Development in Realising Meaningful Worship Banga, Berthin S; Maahury, Yane R.; Roragabar, Yeni I.; Tolanda, Yofsan; Ferre, Godfried San; Bandong, Yohanes; Lantaka, Okrisye; Hutasoit, Resmi; Gobai, Mika; Hutapea, Melina; Irianto, Irianto; Lesirolo, Tresia F; Limbong, Ayulita
Abdi Masyarakat Vol 7, No 2 (2025): Abdi Masyarakat
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/abdi.v7i2.9667

Abstract

This community engagement program responds to the declining participation of young congregants in meaningful worship at GKI Hermon Hollo Him. The activity aimed to strengthen the role of young liturgists and nurture the spiritual formation of the youth fellowship. Using a structured approach, including needs assessment, contextual material design, lectures, demonstrations, guided practice, and reflective discussions, the program equipped participants with theological insight and practical liturgical skills. Evaluation was conducted through questionnaires to measure comprehension and responses toward the training. The results show a marked improvement: most participants gained a deeper understanding of liturgy as a transformative encounter with God and demonstrated increased confidence in leading worship. The program successfully integrated theological learning and liturgical practice, enabling young members to serve with greater awareness, competence, and spiritual maturity. In conclusion, the activity effectively empowered youth as active agents in realizing meaningful and life-giving worship within the congregation.
Kombinasi Pupuk Kotoran Ayam dan Pupuk NPK Terhadap Pertumbuhan dan Hasil Tanaman Jagung Manis (Zea mays saccharata Sturt) Pada Tanah Ultisol Saputra, Agung; Irianto, Irianto; Antony, Dedy
Jurnal Media Pertanian Vol 10, No 2 (2025): Oktober
Publisher : Universitas Batanghari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jagro.v10i2.278

Abstract

This study aimed to examine the effect of combining chicken manure fertilizer and NPK fertilizers on the growth and yield of sweet corn (Zea mays saccharata Sturt) grown on Ultisol soil. The research was conducted in Pelawan Jaya Village, Sarolangun, Jambi, using a Randomized Block Design with eight combinations of chicken manure fertilizer doses (0–30 ton ha-1) and NPK (0–300 kg ha-1). Soil analysis showed that the Ultisol had acidic pH, low nitrogen and organic carbon content, high phosphorus, and low potassium levels. The chicken manure fertilizer used met the Indonesian National Standard (SNI) with good macro-nutrient content. The combined application of chicken manure fertilizer and NPK significantly improved vegetative growth parameters (plant height, leaf number, leaf area, stem diameter) and sweet corn yield components (ear weight, diameter, and length) compared to no fertilization. The optimal dose was 10 ton ha-1 chicken manure fertilizer combined with 200 kg ha-1 NPK, which produced the best growth and yield. Excessive chicken manure fertilizer without NPK did not optimally increase yield. Using chicken manure fertilizer can reduce the use of NPK by up to 50%.
RESPONS TANAMAN TERONG UNGU TERHADAP KOMBINASI PEMBERIAN PUPUK ORGANIC CAIR LIMBAH SAYURAN DAN PUPUK NPK Miftahurridho, A Muhammad Toha; Irianto, Irianto; Rinaldi, Rinaldi
Jurnal Agroecotania : Publikasi Nasional Ilmu Budidaya Pertanian Vol. 8 No. 2 (2025): Jurnal Agroecotania : Publikasi Nasional Ilmu Budidaya Pertanian
Publisher : Jambi University, Fakultas Pertanian, Program Studi Agroekoteknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/agroecotania.v8i2.50982

Abstract

ABSTRACT Eggplant (Solanum melongena L.) is a vegetable that is loved by the community because it tastes good and has health benefits. Eggplant productivity in Jambi province has not yet reached its potential results, this is because the land used for planting has low fertility. Efforts to increase productivity are carried out by fertilization. Fertilizers are divided into two, namely organic and inorganic fertilizers, each of which has advantages and disadvantages so it needs to be combined to get efficiency. Organic fertilizer used in the form of liquid organic fertilizer (POC) from vegetable waste. This research aims to find out the response of purple eggplant plants to the administration of liquid organic fertilizers, vegetable waste and NPK fertilizers. The research was carried out at the Teaching and Research Farm of the Faculty of the Faculty of Agriculture, University of Jambi, which used a random group design (RAK) with a combination treatment of liquid organic fertilizer for vegetable waste and NPK fertilizer with 5 levels, namely: 0 mL POC vegetable waste + 30 grams of NPK; 50 mL POC vegetable waste + 22.5 grams of NPK; 100 mL POC vegetable waste + 15 grams of NPK150 mL POC vegetable waste + 7.5 grams of NPK; 200 mL POC vegetable waste + No NPK Fertilizer. The results of the study showed that the combination of liquid organic fertilizer from vegetable waste and NPK fertilizer had an effect on the growth and yield of purple eggplant plants including plant height, number of leaves, number of branches, flowering age, crown diameter, number of fruits per plant, fruit weight per plant, average fruit weight per plant, average fruit length, and average fruit diameter. The combination of 100 mL POC of vegetable waste and 15 grams of NPK fertilizer gives the highest number of leaves, fruit length and fruit diameter. Keywords: NPK, POC, eggplant.
Perbandingan Metode ARAS dan TOPSIS untuk Menentukan Siswa Penerima Beasiswa Berprestasi Hutahaean, Jeperson; Mulyani, Neni; Handayani, Masitah; Irianto, Irianto; Irawati, Novica
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2333

Abstract

Proses penentuan siswa yang layak menerima beasiswa berprestasi seringkali hanya berdasarkan seleksi berkas, yang memakan waktu lama dan dapat menghasilkan keputusan yang kurang akurat. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan yang mempercepat proses seleksi siswa penerima beasiswa berprestasi. Metode yang digunakan dalam penelitian ini adalah ARAS (Additive Ratio Assessment) dan TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). Kedua metode ini dipilih karena mampu menyeleksi alternatif terbaik berdasarkan pembobotan dan memilih tujuan berdasarkan kriteria yang berbeda, yaitu benefit dan cost. Metode ARAS menghasilkan ranking berdasarkan perbandingan fungsi utilitas alternatif dengan nilai fungsi utilitas optimal, sementara metode TOPSIS menghasilkan ranking berdasarkan jarak terpendek dengan solusi ideal positif dan jarak terpanjang dengan solusi ideal negatif. Dari nilai-nilai tersebut, alternatif yang memenuhi kriteria ditetapkan sebagai siswa penerima beasiswa berprestasi melalui perhitungan menggunakan metode ARAS dan TOPSIS. Hasil uji korelasi Rank M Arsya Almusa menunjukkan nilai 1,0546 untuk ARAS dan 0,8739 untuk TOPSIS. Hasil perhitungan secara manual dan melalui sistem memberikan hasil yang sama, sehingga sistem dapat digunakan untuk menentukan siswa penerima beasiswa berprestasi.
Comparative Analysis Of Machine Learning Algorithms For Dengue Fever Prediction Based On Clinical And Laboratory Features Sriyanto, Sriyanto; Aziz, RZ Abdul; Rahayu, Dewi Agushinta; Zuriati, Zuriati; Abdollah, Mohd Faizal; Irianto, Irianto
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5309

Abstract

Dengue fever (DF) remains a global health problem requiring accurate early detection to prevent severe complications. This study applies machine learning (ML) algorithms to clinical and laboratory data for improving diagnostic accuracy. Six classifiers were compared: Decision Tree (DT), K-Nearest Neighbor (KNN), Logistic Regression (LR), Naïve Bayes (NB), Neural Network (NN), and Support Vector Machine (SVM). The dataset consists of 1,003 patient records with nine feature columns, of which 989 were used after preprocessing. Class distribution was imbalanced, with 67.6% positive and 32.4% negative cases. Model performance was evaluated using 10-fold cross-validation based on accuracy, precision, recall, F1-score, confusion matrix, and ROC curve analysis. The results indicate that DT achieved the highest performance with 99.4% accuracy, 99.4% precision, 99.7% recall, and 99.6% F1-score, slightly outperforming NN. KNN, LR, and SVM produced comparable results, while NB showed substantially lower accuracy (44.3%) and limited discriminatory power. ROC analysis confirmed these findings, with DT, NN, SVM, and LR achieving AUC values between 0.992 and 0.999, whereas NB performed poorly. These findings highlight the strong potential of ML algorithms, particularly DT, to support medical decision systems, strengthen informatics-based decision support applications, and enhance the accuracy and speed of dengue diagnosis in clinical practice.
PENERAPAN MFEP DALAM MEREKOMENDASIKAN PENERIMA PINJAMAN MODAL USAHA KECIL MENENGAH DI BUMDES TANJUNG ASRI Irianto, Irianto; Amin, Muhammad; Maulana, Cecep
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3085

Abstract

Abstract: Determining loan recipients for Small and Medium Enterprises (SMEs) at BUMDes Tanjung Asri requires an objective method to ensure that assistance is provided to truly eligible parties. This study applies the Multi-Factor Evaluation Process (MFEP) method to provide more structured recommendations based on relevant criteria. The evaluation process includes factors such as business feasibility, loan repayment ability, business experience, and other financial aspects. Data were collected through interviews and document studies, then analyzed using the MFEP method to rank loan applicants. The results indicate that the implementation of MFEP enhances transparency and accuracy in decision-making compared to conventional methods. With an MFEP-based system, BUMDes Tanjung Asri can allocate funds more effectively, ensuring targeted financial support and promoting sustainable local economic growth. Keywords: MFEP, Recommendation, Business Loan, UKM, BUMDes Abstrak: Penentuan penerima pinjaman modal bagi Usaha Kecil Menengah (UKM) di BUMDes Tanjung Asri memerlukan metode yang objektif agar bantuan dapat diberikan kepada pihak yang benar-benar layak. Penelitian ini menerapkan metode Multi-Factor Evaluation Process (MFEP) untuk memberikan rekomendasi yang lebih terstruktur dan berbasis kriteria yang relevan. Faktor-faktor yang digunakan dalam proses evaluasi meliputi kelayakan usaha, kemampuan pengembalian pinjaman, pengalaman usaha, serta aspek finansial lainnya. Data dikumpulkan melalui wawancara dan studi dokumentasi, kemudian dianalisis menggunakan metode MFEP untuk menghasilkan peringkat calon penerima pinjaman. Hasil penelitian menunjukkan bahwa penerapan MFEP dapat meningkatkan transparansi dan akurasi dalam pengambilan keputusan dibandingkan metode konvensional. Dengan adanya sistem berbasis MFEP, BUMDes Tanjung Asri dapat mengalokasikan dana secara lebih tepat sasaran, sehingga mendukung pertumbuhan ekonomi lokal secara berkelanjutan. Kata kunci: MFEP, Rekomendasi, Pinjaman Modal, UKM, BUMDes
Sistem Monitoring Kecepatan Otoped Listrik Menggunakan Baterai LiFePO4 sebagai Transportasi Alternatif Firyal Adila, Ahmad; Maulana Abdullah, Rafli; Irianto, Irianto; Septi Yanaratri, Diah; Sutedjo, Sutedjo; Renny Rakhmawati, Renny Rakhmawati
Jurnal JEETech Vol. 6 No. 1 (2025): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i1.6103

Abstract

Autoped has become a popular alternative in environmentally friendly urban transportation. It uses batteries as the main power source to drive their electric motors. However, efficient and optimal battery usage is essential to maintain the performance and durability of autoped. This study aims to design a speed monitoring system for autoped using LiFePO4 batteries by considering variations in user loads. This monitoring system informs autoped drivers about the speed when used and battery usage. This electric autoped is equipped with a DC brushed motor with a specification of 24 Volt/500 Watt. The speed is measured using a metal proximity sensor that functions without direct contact, thus ensuring consistent measurements and reducing the risk of errors due to physical interaction. In addition, a load cell sensor with a maximum weight measurement of 100 kg is used to classify user's weight which is divided into three variations: 35-45 kg, 46-55 kg, and 56-65 kg. As the main energy source, this system uses a LiFePo4 battery with a specification of 24 Volt/36 Ah. The system was tested on a flat track on the campus, where the scooters were used to support environmentally friendly mobility around the campus area. This test ensured that the designed speed monitoring system was able to provide real-time data on scooter performance based on user weight, as well as support increased efficiency of battery energy use.
Classification of Obesity Using The Naïve Bayes Method and K-Nearest Neighbor Ari, Ilham Asy; Amin, Muhammad; Saputra, Andi; Irianto, Irianto; Manurung, Nuriadi
JURNAL TEKNISI Vol 6, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v6i1.5529

Abstract

Abstract: Obesity is a major health problem that significantly impacts quality of life and can trigger various chronic diseases. Early detection of obesity levels is crucial for public health management, but traditional methods such as BMI often have limitations. Solution: This study proposes a data mining-based approach using feature engineering techniques to improve the accuracy of obesity classification. The purpose of this study is to classify obesity levels and compare the performance of Naïve Bayes and K-Nearest Neighbor (KNN) methods. This research method includes preprocessing stages, feature extraction using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), feature selection using CFS and Chi-Square, classification with Naïve Bayes and KNN, and model evaluation using accuracy and confusion matrix on 2,111 data sets from Kaggle. The results of this study show that on the original data without LDA, KNN achieves a higher accuracy (88.41%) than Naïve Bayes (63.82%). However, after using LDA, the accuracy of Naïve Bayes increased sharply to 93.61%, surpassing KNN's 92.19%. The study concluded that KNN was more effective on raw data, while Naïve Bayes was more optimal when combined with LDA-based dimensionality reduction. Keyword:  classification_ naïve_bayes; data mining; k-nearest neighbor; obesity; LDA; PCA.  Abstract: Obesitas merupakan salah satu masalah kesehatan utama yang berdampak signifikan pada kualitas hidup dan dapat memicu berbagai penyakit kronis. Deteksi dini tingkat obesitas sangat krusial untuk manajemen kesehatan masyarakat, namun metode tradisional seperti BMI seringkali memiliki keterbatasan. Solusi: Penelitian ini mengusulkan pendekatan berbasis penambangan data (data mining) menggunakan teknik rekayasa fitur untuk meningkatkan akurasi klasifikasi tingkat obesitas. Tujuan penelitian ini adalah untuk mengklasifikasikan tingkat obesitas dan membandingkan kinerja metode Naïve Bayes dan K-Nearest Neighbor (KNN). Metode penelitian ini mencakup tahap prapemrosesan, ekstraksi fitur menggunakan Principal Component Analysis (PCA) dan Linear Discriminant Analysis (LDA), seleksi fitur menggunakan CFS dan Chi-Square, klasifikasi dengan Naïve Bayes dan KNN, serta evaluasi model menggunakan accuracy dan confusion matrix pada 2.111 data dari Kaggle. Hasil penelitian ini menunjukkan bahwa pada data asli tanpa LDA, KNN mencapai akurasi lebih tinggi (88,41%) dibandingkan Naïve Bayes (63,82%). Namun, setelah penggunaan LDA, akurasi Naïve Bayes meningkat tajam menjadi 93,61%, melampaui KNN yang mencapai 92,19%. Kesimpulan dari penelitian ini adalah KNN lebih efektif pada data mentah, sedangkan Naïve Bayes menjadi lebih optimal ketika dikombinasikan dengan reduksi dimensi berbasis LDA. Keywords: klasifikasi naïve bayes; k-nearest neighbor; obesitas; PCA; penambangan data; LDA
Co-Authors Abdi, L. Khairul Abdollah, Mohd Faizal Abram, Voneka Adiyasa, I Nyoman ADRIANI ADRIANI afrisawati, Afrisawati Agung Saputra Agusalim, Imam Dui Ahmad Firyal Adila AHMAD RIDUAN Ahmad Yani Ahzan, Zulkaidah Nur Alfian Ma’arif Ali, Esam Abu Baker Amalia Amalia Amanah, Ayu Amin, Muhammad Amin Amrul, Rusli Andi Saputra Anis Tatik Mariyani Anis Tatik Maryani Apriyanto, Mulono Ari, Ilham Asy Arman Jaya Arman Syahputra, Arman Arsana, I Nengah Asep Bayu Dani Nandiyanto Asih, Hayati Mukti Asniwita Asniwita Ayu Wulandari Aziz, RZ. Abdul Bairizki, Ahmad Berthin Samuati Banga Budiyati Ichwan Bukri, Bukri Chandradewi , AASP Chandradewi Dedy Antony Dewi Agushinta R. Didi Suryadi Djauhari, Maman Abdurachman Dwi Budi Santoso Elah Nurlaelah Eliyanti Eliyanti Endro Wahjono, Endro Epyk Sunarno Erlangga, Dina Surya Ermadani Ermadani Faizathul Octavia, Yusi Farhan, M Farhan Anantri Pramudya Farid Dwi Murdianto Febri Dristyan Ferdiansyah, Indra Ferre, Godfried San Firman, La Ode Muhammad Firmansyah Firmansyah FIRMANSYAH, ACHMAD DICKY Fitria Fitria Fuad Nurdiansyah Gobai, Mika Handayani, Masitah Hasana, Dina Nur Helmida, Baiq Ertin Hidajat, Raymundus Lullus Lambang Govinda Hidayaturrahmi Hutapea, Melina Hutasoit, Resmi I Made Suarsana I Made Suarsana Imaduddin, Fitrian Indhana Sudiharto Intan Sari Irawati, Novica Jamil Alsayaydeh, Jamil Abedalrahim Jeperson Hutahaean Joko Triyatno, Joko Juliandari, Handayani Khotmi, Herawati Kisnawati, Baiq Lalu Khairul Abdi Lantaka, Okrisye Lapian, Franky E P Lapian, Franky E.P Lapian, Franky E.P. Lesirolo, Tresia Lesirolo, Tresia F Limbong, Ayulita Lotoshynska, Nataliia Lucky Pradigta Setiya Raharja Maahury, Yane Rosmawati Mabui, Didik S S Mabui, Didik S.S Made Darawati Mahyudin, Dimas Manurung, Nuriadi Marpaung, Nasrun Maulana Abdullah, Rafli Maulana, Cecep Maulidia, Annisa Miftahurridho, A Muhammad Toha Milladah, Roshina Ayu Mohamad, Effendi Mohd Asrah, Norhaidah Muhammad Amin Muhammad Idris Muhammad Zulkarnain Mulya, Anugrah Hadi Mustika, Donny Muthia Dewi Nadhifah, Naurah Narda Widiada, I Gde Nazri , M. Nazri Utama Hasibuan Nirda Julianda Noor Akma Ibrahim Nugraha, Daffa Yulistian Arienta Nugraha, Syechu Dwitya Nurdiyanti, Eni Nurfadillah, Dian Nusantara, Hebat Maha Putera Oktavia, Sella Oktaviani, Fitrotin Nafisa Popova, Solomiya Pragina, Baiq Rani Mayani Proboningtyas, Dewinta Dwi Purnomo, Julian Putih, Bening Putri Permata Putra, Azma Rachma Prilian Eviningsih, Rachma Prilian Rakhmawati, Renny Renny Rakhmawati, Renny Rakhmawati Rinaldi Rinaldi Riswanto, Sigit Robo, Salahuddin Rochmawati, Reni Rochmawati, Reny Roragabar, Yeni I Roragabar, Yeni I. Roragabar, Yeni Irawati Rusli, Muhammad Rizani Sa'ad, Asmadi sahren, sahren SANTOSO SANTOSO Sarah, Sophia Saripah Sobah Septi Yanaratri, Diah Sila, Ardi Azis Siswandi, Hendra Sitorus, Pangeran Holong SOPIAN SAORI Sosiawan Nusifera Sriyanto, Sriyanto Sudarmin Sudarmin Suharyanto, Hendik Eko Hadi Sumarna, Ade Suradi Suradi Suryono Suryono Sutedjo Sutedjo Syah Alam Syakbani, Baehaki Syarifuddin, Rizal Tatang Herman, Tatang Tokoro, Yan Piet Triyasa, Ni Kadek Rika Mega Ubaidillah Ubaidillah Wibowo, Rezky A. Widiada, I Gde Narda Widiyanti, Hafsah Wilyus Wilyus Wirjaya, Salsabila Yanarat, Diah Septi Yanaratri, Diah Septi Yofsan Tolanda Yohanes Bandong Zulkarnain Zulkarnain Zuriati, Zuriati