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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Matematika Jurnal Periodic Jurusan Kimia UNP Sainstek Teknika Jurnal Riset Kimia Annual Research Seminar Pro-Life Proceeding of the Electrical Engineering Computer Science and Informatics AKSIOMA Science and Technology Indonesia Sistemasi: Jurnal Sistem Informasi Jurnal Penelitian Sains Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Infomedia KACANEGARA Jurnal Pengabdian pada Masyarakat JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JURNAL PENDIDIKAN TAMBUSAI KOMPUTIKA - Jurnal Sistem Komputer Masyarakat Madani: Jurnal Kajian Islam dan Pengembangan Masyarakat Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Teknik Elektro dan Komputasi (ELKOM) International Journal of Applied Sciences and Smart Technologies Jurnal Pedagogi dan Pembelajaran BERNAS: Jurnal Pengabdian Kepada Masyarakat English Teaching and Linguistics Journal (ETLiJ) Jurnal At-Taghyir : Jurnal Dakwah dan Pengembangan Masyarakat Desa TADBIR: Jurnal Manajemen Dakwah FDIK IAIN Padangsidimpuan Indonesian Journal of Education, Social Sciences and Research (IJESSR) Jurnal AbdiMas Nusa Mandiri Bioscientist : Jurnal Ilmiah Biologi Journal of English Language and Education Jurnal USAHA Jurnal Kajian Pariwisata Jurnal Sains Manajemen Jurnal Ilmu Komputer dan Informatika Jurnal Mandiri IT Interaksi Peradaban: Jurnal Komunikasi dan Penyiaran Islam International Journal of Management Science and Information Technology (IJMSIT) BAKTI : Jurnal Pengabdian Kepada Masyarakat Asia Pacific Journal of Management and Education Journal of International Conference Proceedings Islam Transformatif : Journal of Islamic Studies Pattimura International Journal of Mathematics (PIJMath) Bulletin of Applied Mathematics and Mathematics Education Curtina Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Kimia dan Rekayasa Innovative: Journal Of Social Science Research Journal Medical Informatics Technology HIKMAH: Jurnal Ilmu Dakwah dan Komunikasi Islam Toplama Jurnal Pendidikan IPA Indonesia Jurnal Pengabdiaan Masyarakat Larisma Tapis : Jurnal Penelitian Ilmiah
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Klasifikasi Jamur Beracun Menggunakan Algoritma Naïve Bayes dan K-Nearest Neighbors Batubara, Gracia Mianda Caroline; Desiani, Anita; Amran, Ali
Jurnal Ilmu Komputer dan Informatika Vol 3 No 1 (2023): JIKI - Juni 2023
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jiki.68

Abstract

Jamur adalah salah satu organisme eukariot heterotrof dengan jenis yang sangat banyak, sekitar 1.500.000 di dunia. Namun, pengenalan akan jamur masih sangat kurang, dimana jumlah jamur yang sudah dikenali hanya sebanyak 74.000 jenis. Beragamnya jenis jamur ini membuat pengenalan akan klasifikasi jamur menjadi sangat penting agar manusia tidak mengonsumsi jamur beracun yang akan memberikan dampak negatif. Penelitian ini bertujuan untuk menemukan algoritma terbaik dalam pengklasifikasian jamur beracun dan tidak beracun. Klasifikasi jamur berdasarkan ciri-cirinya dapat dilakukan melalui penerapan algoritma Naïve Bayes dan k-Nearest Neighbors (kNN) pada dataset jamur. Hasilnya, algoritma Naïve Bayes memberikan rata-rata akurasi sebesar 92%, lebih kecil dibanding k-Nearest Neighbors yang memberikan rata-rata akurasi sebesar 98%. Rata-rata presisi algoritma Naïve Bayes dan k-Nearest Neighbors sama, yaitu 92,5%. Rata-rata recall algoritma Naïve bayes sebesar 91,5% dan algoritma k-Nearest Neighbors sebesar 98%. Berdasarkan rata-rata akurasi, presisi, dan recall kedua algoritma tersebut, dapat disimpulkan bahwa algoritma k-Nearest Neighbors lebih baik dibanding algoritma Naïve Bayes dalam klasifikasi jamur beracun. Namun, rata-rata akurasi, presisi, dan recall dari algoritma Naïve Bayes masih tergolong sangat baik karena nilainya berada diatas 90%.
Indonesian Language Destroyers Applied by Public Figures Through Social Media Amran, Ali
English Teaching and Linguistics Journal (ETLiJ) Vol 5, No 1 (2024): ETLIJ - English Teaching and Linguistics Journal
Publisher : English Teaching and Linguistics Journal (ETLiJ)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/etlij.v5i1.18801

Abstract

This research aims to investigate why Indonesian public figures mix some English words or phrases into Indonesian language when they are having conversation in social medias, like on TV, You Tube channels. The researcher also wants to professionally discover some negative effects towards the grammar, meanings of those mixing (Indonesian-English) statements conducted by public figures. All language experts agree that every language has its own standard rules to follow. For example, when we write, “There is three problems in this statement”. It is grammatically non-standard English. The verb “is” must be changed with “are” and the word “problem” must plus “s”. It becomes “There are three problems in this statement”. Let alone when we mix some English words or phrases into Indonesian language. One example, “Saya hanya mau sharing--haring informasi”. The questions are, 1). Does this sentence make any sense?  2). Does the user know the meaning of the word sharing? 3). Does this sentence produce the standard grammar either in English or in Indonesian language? The standard one is “Saya hanya mau berbagi informasi”. Besides, the words “sharing-sharing” is not available and applicable in English.  The researcher’s opinion is mixing the words into different languages is called “language destroyers”. It is expected that this study is beneficial for those language teachers, lecturers and public figures and also hoped that in the future language “destroyers” less and less exist.
The Importance of Perceived Organizational Support and Work From Home to increase Work-Life Balance During The Covid-19 Pandemic Putri, Amanda; Amran, Ali; Suparwo, Adi; Kurniawan, Adang; Rahayu, Yayu Sri; Suryana, Suryana
Asia Pacific Journal of Management and Education (APJME) Vol 4, No 3 (2021): November 2021
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (262.758 KB) | DOI: 10.32535/apjme.v4i3.1262

Abstract

This research’s purpose is to determine the impact of perceived organizational support and work from home on the work-life balance of employees during the COVID-19 pandemic. The research method used was the survey method. It took 30 respondents as samples from Gramedia TSM – Bandung by using a non-probability sampling method with a saturated sampling technique. A descriptive and verificative survey was the research type used in this study. The data were processed with multiple regression analyses. The research result showed that perceived organizational support, work from home, and work-life balance are on a good level. The hypothesis testing showed that work from home has a positive and significant effect on work-life balance partially. Perceived organizational support has also a significant and positive effect on work-life balance. Both of them, work from home and perceived organizational support affect work-life balance simultaneously. This study concluded that perceived organizational support and work from home were two significant predictors to construct work-life balance. This information is useful for the company in evaluating the work-life balance of employees through the implementation of work from home and perceived organizational support.
Building Organizational Citizenship Behavior through Authentic Leadership and Organizational Commitment Amran, Ali
Journal of International Conference Proceedings Vol 6, No 1 (2023): 2023 ICPM Malang Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i1.2285

Abstract

Leaders and employees are valuable human resources in a company. Proper leadership accompanied by employee commitment is needed for the organization’s sustainability. This research seeks to ascertain the influence of authentic leadership and organizational commitment on organizational citizenship behavior. Survey method with descriptive and verificative research was used to obtain the data by using are primary data obtained from the distribution of questionnaires. Saturated Sampling is the method of sampling that is used.. The samples involved were 97 respondents, namely employees at PT Aneka Produksi Nusajaya. The results showed that organizational citizenship behavior was positively and significantly influenced by organizational commitment and authentic leadership , either partially or concurrently. In addition, variable of authentic leadership have a greater influence on organizational citizenship behavior than variable of organizational commitment. This research findings are expected to be used by companies to build organizational citizenship behavior through aspects of authentic leadership and organizational commitment. 
Going Green: Unleashing the Potential of Green Product Knowledge and Influencer Marketing in Eco-Friendly Sanitary Product Selection Agustina, Silpia; Amran, Ali; Dewi, Srie Wijaya Kesuma; Komalasari, Yunika; Putriyandari, Rofily; Drajat, Devi Yuniati
Journal of International Conference Proceedings Vol 6, No 6 (2023): 2023 WIMAYA Yogyakarta Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i6.2836

Abstract

This study examines the influence of green product knowledge and influencer marketing on purchase intention for eco-friendly sanitary products under the brand Nadnad. The data utilized in this research is primary data gathered by a survey method by giving questionnaires to 100 respondents residing in the city of Bandung, with respondent ages ranging from 15 to 35 years. Respondent selection was conducted by utilizing a non-probability sampling approach with purpose sampling techniques. The type of research is a descriptive and verificative survey employing multiple regression analysis. The findings of this study, green product knowledge has a partially significant and positive impact on purchase intention, and influencer marketing has a partially significant and positive impact on purchase intention as well. Furthermore, green product knowledge and influencer marketing, have simultaneously significant and positive impacts on purchase intention. This research provides a deeper understanding of the importance of green product knowledge in increasing consumer purchase intention towards eco-friendly sanitary products and can encourage companies to consider influencer marketing strategies as an effective method for promoting eco-friendly products.
Adsorpsi Zat Warna Methylene Blue Menggunakan Karbon Aktif Kulit Kelengkeng (Euphoria longan lour) Dengan Metode Batch Harmaiyani, Risky; Amran, Ali; Oktavia, Budhi; Kurniawati, Desy
Periodic Vol 12, No 3 (2023): PERIODIC
Publisher : Departemen Kimia FMIPA UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/periodic.v12i3.118807

Abstract

In Indonesia, longan skin has not been widely used. Longan skin contains lignin which has good absorption ability. The cause of this research is to calculate the finest absorption capability of longan peel activated carbon against methylene blue dye using the batch method. The results confirmed that the optimum absorption ability for the absorption of methylene blue at pH 4, concentration of 600 ppm, and contact time of 120 minutes at a stirring speed of 200 rpm, and a mass of 0.2 grams was 69.0679 mg/g.
Sintesis dan Karakterisasi Magnetik Kuantum Dot Fe3O4 Dengan Metode Kopresipitasi Hamid, Abdul; Isnaeni, Isnaeni; Amran, Ali; Beri, Deski
Periodic Vol 13, No 2 (2024): PERIODIC
Publisher : Departemen Kimia FMIPA UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/periodic.v13i2.124698

Abstract

The unique properties of the magnetic quantum dot Fe3O4 make it widely synthesized by different methods and applied in the biomedical field. The synthesis method plays an important role in determining the optical properties of the magnetic quantum dot Fe3O4. This study aims to determine the magnetic synthesis of quantum dot Fe3O4 coated with oleic acid by coprecipitation method. Quantum dot Fe3O4 magnetic synthesis method by coprecipitation using oleic acid for functionalization of Fe3O4 quantum dot magnetic. The results of the FTIR analysis showed five main absorption bands namely O-H, C-H, C=C, C-O, and Fe-O which indicated that the magnetic quantum dot Fe3O4 was successfully functionalized with oleic acid.
PENERAPAN ALGORITMA PENERAPAN ALGORITMA K-MEANS UNTUK MENENTUKAN PENJURUSAN MAHASISWA PROGRAM STUDI TEKNIK INFORMATIKA PADA STMIK MUSIRAWAS amran, ali
Curtina Vol 4 No 2 (2023)
Publisher : Program Studi Teknik Informatika Universitas PGRI Ronggolawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/curtina.v4i2.986

Abstract

K-Means merupakan algoritma clustering data berulang-ulang, dengan menentapkan nilai-nilai cluster (K) secara random, untuk sementara nilai tersebut menjadi pisat dari cluster atau biasa disebut dengan centroid, mean atau “means”.Sekolah Tinggi Manajemen dan Ilmu Komputer Musirawas memiliki tiga program studi yaitu Teknik Informatika(TI), Sistem Informasi(SI), dan Sistem Komputer(SK).Program studi teknik informatika mempunyai konsentrasi keahlian seperti Web Engineering dan Database Engineering yang sesuai dengan kurikulum program studi teknik informatika di STMIK Musirawas , proses penentuan Penjurusan saat ini secara langsung dapat ditentukan berdasarkan minat mahasiswa yang telah memilih mata kuliah konsenterasi keahlian pada halaman Kartu Rencana Studi yang terdapat di website Sekolah Tinggi Manajemen dan Ilmu Komputer Musirawas . . Proses penentuan Penjurusan kosentrasi seperti ini tidak efektif karena belum tentu mahasiswa yang memilih konsentrasi Web Engineering mempunyai nilai mata kuliah pendukung konsentrasi Web Engineering yang baik dan juga sebaliknya mahasiswa yang memilih konsentrasi Software Engineering belum tentu mempunyai nilai mata kuliah pendukung konsentrasi Software Engineering yang baik juga.
Comparison of Classification Results of SVM, KNN, Decision Tree, and Ensemble Methods in Diabetes Diagnosis Arsyad. H, Muhammad Iqbal; Amran, Ali; Desiani, Anita; Napitu, Michael Jackson
Journal Medical Informatics Technology Volume 2 No. 3, September 2024
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v2i3.62

Abstract

This study aims to determine which algorithms and test techniques are the most optimal in detecting diabetes mellitus and obtaining the best results based on the value of accuracy, precision, and recall. In this study, approaches were used in early diagnosis of diabetes using KNN, SVM, Decision Tree, and Ensemble Majority Voting methods in Percentage Split and K-Fold Cross Validation methods. Diabetes is a disease characterized by high blood sugar (glucose) levels and can cause a variety of disease complications and damage to the body's organs if not treated immediately. Early diagnosis of diabetes is becoming crucial so that people can take immediate action to the hospital for immediate treatment. The data used is Healthcare-Diabetes from Kaggle. The results of this study have found that the K-Fold Cross Validation method is better because it can provide an average improvement in Ensemble accuracy of 13.42% compared to the Percentage Split method which only gives an average increase in Ensamble accuracy of 9.15%. The best algorithm for classifying diabetes disease is the Ensemble Majority Voting algorithm using the K-Fold Cross Validation method with a 98.81% accuracy rate. These excellent research results may contribute to detecting early symptoms of diabetes before it become too severe.
Penerapan dan Pengelolaan Jaringan Komputer di SMK Manbail Futuh Menggunakan Cisco Packet Tracer Amran, Ali; Ardiansah, Moh. Musayarof
TEKNIKA Vol. 18 No. 2 (2024): Teknika Juli - Desember 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12058855

Abstract

Penelitian ini membahas tentang pentingnya kualitas jaringan komputer di lingkungan pendidikan, khususnya di SMK Manbail Futuh. Dengan pesatnya perkembangan teknologi Internet, kebutuhan akan jaringan komputer yang andal pun semakin meningkat. Permasalahan yang umum terjadi adalah konektivitas yang lambat dan tidak stabil sehingga dapat mengganggu proses belajar mengajar. Untuk mengatasinya, diperlukan sistem pemantauan jaringan yang efisien. Penelitian ini menggunakan aplikasi Cisco Packet Tracer untuk mensimulasikan jaringan komputer. Metode investigasi mencakup penggunaan perangkat keras seperti prosesor i3 dan RAM 4 GB, serta perangkat lunak seperti Windows 10 dan Cisco Packet Tracer. Simulasi dilakukan dengan menggunakan topologi jaringan star dan konfigurasi alamat IP. Studi ini menunjukkan bahwa simulasi Cisco Packet Tracer dapat membantu administrator jaringan memantau dan mengelola jaringan komputer dengan lebih efisien dan cepat mengidentifikasi dan menyelesaikan masalah konektivitas.
Co-Authors Abd Ghafar bin Don Abdul Hamid Adha, Yuni Adi Suparwo Adinda Ayu Lestari, Adinda Ayu Agus Nurofik Agustin, Oriza Agustina, Silpia Ahmad Nizar Rangkuti Ajeng Islamia Putri Aji Pangestu, Moch. Rizqi Akmil Asril Al Himam, Wasik Al-Ariq, M Alfensi Faruk Alga Mahida Ali, Rizkia Salsabila Andika, Jaya Dwi Anita Desiani Aprilia, Wahyu Nur Apriyani, Eka Ardi Ardi Ardiansah, Moh. Musayarof Ardila, Nebi Arhami, Muhammad Arifanti, Anggita Dwi Arifuddin Arifuddin Aris Wibowo Arsyad. H, Muhammad Iqbal Astutik Astutik Aulita, Rida Nur Ayuputri, Niken Bambang Suprihatin Bambang Suprihatin Batubara, Gracia Mianda Caroline Budhi Oktavia Budi Hardjayanti, Nany Calista, Nur Avisa Carolina Rahman Chairu Nisa Apriyani Chairunnisa Siregar, Fitri Danny Matthew Saputra Danny Matthew Saputra Des Alwine Zayanti, Des Alwine Deski Beri Desy Kurniawati Dewi Lestari Dwi Putri Dewi, Deshinta Arrova Dewi, Herdiyanti Kusuma` Dewi, Novi R. Dewi, Sri W K Dewi, Sri Wijaya Kesuma Dewi, Srie Wijaya Kesuma Dian Cahyawati Diana, Siti Nur Diani Syahputri Dina Suzzete Sitorus Diyah Hoiriyah Doni Purnama Alamsyah Drajat, Devi Yuniati Dwifa, Dima Endang Sri Kresnawati Endro Setyo Cahyono, Endro Setyo Enyta Yuniar Ermatita - Erwin, Erwin Evi Yuliza, Evi Faishal Fitra Ramadhan Fikri, Sholeh Firdaus, Firman Aditya Fitria, Yaumul Ganafri, Ganafri Geovani, Dite Gusman , Mulya Habib Syukri Nasution HARDIMANSYAH HARDIMANSYAH Harmaiyani, Risky Hasibuan, MS Hendri, Novi Henisaniyya, Nabila Hermansyah Hermansyah Hermansyah Hervi, Fauziah Hoiri, Sajiril Icol Dianto Ikrar Jamika, Fadel Indah Verdya Alvionita Indra Maiyanti, Sri Irmeilyana Irsyadi Yani Isnaeni Isnaeni KHAIRUL HUDA, KHAIRUL Komalasari, Yunika Kosasih, Ahmad Kresnawati, Endang S. Kurniawan, Adang Latifah, Dede Lesmana, Gusman Lili Nur Indah Sari Luckieta, Meiliani Lufri Lufri Makhalli, Siddiq Mandra Saragih, Mandra Mara Samin Lubis Mariam Nasution Marselina, Nyanyu Chika Maya Meilensa Mega Tiara Putri MS Hasibuan Muhammad Akbar Muhammad Awaludin Djohar Muhammad Azwar Annas Muzakir, Adi Napitu, Michael Jackson Nasution , Syafri Martabe Rizka Nasution, Mhd. Sarif Muda Ngudiantoro . Ning Eliyati Ningsih, Lesnida Nisa, Yustia Fitrotul Nopri Nasir Novi Rustiana Dewi NUNI GOFAR Nur Avisa Calista P.A, Novia Lestari Pelatin, Agustinus Doni Permana, Hendrik Pertiwi, Citra Pratiwi, Ananda Puspa Sari, Puspa Putri Pratiwi Putri, Ajeng Islamia putri, amanda Putri, Yogi Arditya Candani Rahadian Zainul Rahmadi, Egi Rahmatullah, Rohim Rais, Zaim Ramadhan, Bima Lintang Ramadhani, M. David Rambe, Ifrah Hayani RAMBE, SOJUANGON Redina An Fadhila Chaniago Rifki Kurniawan Rifkie Primartha Rizki, Fatur Rofily Putriyandari, Rofily Rohmah, Khoirur S.Ag. S. Pd. M.Ag, Deliati Salamah, Fitri Salsabila, Aulia Saputra, Ananda Saputro, Bayu Trio Saputro, Rizky Wahyu Shalsabila Fauzana, Tiara Shintia, Clara Sholihin Sholihin Siddiq Makhalli SIREGAR, BUDI GAUTAMA Siregar, Esli Zuraidah Siska Nerita Siti Muawanah Siti Nuryanti Sitompul, LIsnawati Sofia Sri Indra Maiyanti Sugandi Yahdin Suryana Suryana Susmawati, Putri Rahayu Syaharani, Happy Thoyibah, Sarirotut Tio, Lina tri wahyuni Triyani Triyani Ulum, Luluk Bahrul Umar, Iswandi Wati, Mala Ayu Setia Wijaya, Muhammad Rudi Yani Restiani Widjaja, Yani Restiani Yayu Sri Rahayu, Yayu Sri Yuli Andriani Yulia Resti Yuniar, Enyta Zayanti, Des A. Zuhria, Sinta Ainun