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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Industrial Engineering Online Journal Jurnal Teknologi dan Manajemen Informatika The Journal of Pure and Applied Chemistry Research JAIS (Journal of Applied Intelligent System) Sinkron : Jurnal dan Penelitian Teknik Informatika JST ( Jurnal Sains Terapan ) JTT (Jurnal Teknologi Terpadu) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknologi Sistem Informasi dan Aplikasi JSHP (Jurnal Sosial Humaniora dan Pendidikan) Minda Baharu Jurnal Akuntansi Kompetif Infotekmesin Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Abdimasku : Jurnal Pengabdian Masyarakat Journal of Soft Computing Exploration Jurnal Politica Dinamika Masalah Politik Dalam Negeri dan Hubungan Internasional Warta AKAB Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi Industrial Research Workshop and National Seminar Nusantara Civil Engineering Journal All Fields of Science Journal Liaison Academia and Sosiety Jurnal Ilmiah Sultan Agung JPM-AKA Journal Integration of Social Studies and Business Development Social Science Academic Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Journal of English Education Assoeltan: Indonesian Journal of Community Research and Engagement Beujroh : Jurnal Pemberdayaan dan Pengabdian pada Masyarakat KANGMAS: Karya Scientific Community Service is a journal Jurnal Polimesin Spektrum Industri Jurnal Pendidikan Ilmu Pengetahuan Alam Jurnal Pendidikan Ilmu Pengetahuan Alam
Candra Irawan
Politeknik Negeri Balikpapan
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Pengujian Aplikasi Website Sekolah Menggunakan Selenium WebDriver Kusyadi, Irpan; Firmansyah, Aksal; Irawan, Candra; Aziz, Fuad Abdul; Sidhiq, Restu Fajar; Munawaroh, Munawaroh
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 2 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Terdapat permasalahan dalam proses garansi perangkat lunak yang terjadi ketika terjadi kesalahan pada server produksi pada saat proses verifikasi, diantaranya pembuatan data buatan, membutuhkan waktu untuk menguji fungsi masalah dan juga untuk mencari data terkait pengguna. mengambil beberapa langkah untuk meningkatkan efisiensi dan efektivitas. Model pengembangan perangkat lunak yang digunakan yaitu Extreme Programming, paradigma pemrograman yang digunakan didasarkan pada pemrograman prosedural dan mengikuti konsep imperatif. Hasil penelitian ini menunjukkan bahwa penggunaan perangkat lunak otomatisasi otentikasi dalam situs web berbasis otorisasi dapat menyederhanakan dan meningkatkan proses jaminan kualitas software, pengujian kompatibilitas, dimana menunjukkan bahwa sistem dapat berjalan atau digunakan dengan benar di beberapa browser.
Pelatihan Pembuatan Pupuk Kompos pada IKM ARG Desa Pesawahan Kabupaten Garut Suhartini, Suhartini; Irawan, Candra; Sukiman, Maman; Rosalina, Rosalina; Utami, Andita; Putri, Imalia Dwi; Septian, Wira Aditia; Azhar, Kheiza Noor Aulia; Alhafish, Muhammad Radhi; Pramudya, Muhammad Kemal Caesar Aqidah
Jurnal Pengabdian Masyarakat AKA Vol 3, No 2 (2023): Desember 2023
Publisher : Politeknik AKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55075/jpm-aka.v3i2.176

Abstract

Livestock waste is still a problem that demands government attention. One of the livestock wastes that cause pollution comes from the cultivation of rabbits. The variation in the number of processed rabbits causes an increase in demand for the number of rabbits, which will be proportional to the amount of waste produced, both in the form of manure and leftover feed. One of the efforts to control rabbit farm waste can be done by processing it into compost. This community service activity aims to provide skills in making compost made from manure and rabbit feed to the Pesawahan Village community, who are members of IKM ARG using Effective Microorganism 4 (EM4) and Trichoderma activators. Training activities are carried out through three stages, namely pre-implementation which includes an initial survey and situation analysis, the implementation stage which consists of outreach and composting training, and evaluation of the results of activities. The results of the training showed that the compost from the training was smoother and moister than the IKM ARG fertilizer before the training was given. Based on the results of the questionnaire, it is known that IKM ARG members are interested in applying the results of the training to produce compost.
Closing the Loop: Goal Programming-Based Optimization in a Tofu-Centered Agro-Eco-Industrial Park Putri, Ade Aisyah Arifna; Purwaningsih, Ratna; Azzahra, Faradhina; Hartini, Sri; Irawan, Candra; Oryzanti, Parwa
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.396

Abstract

Developing an agro-eco-industrial park based on the tofu industry must consider the balance of each agro-industry's production capacity. This research aims to (1) develop an optimization model for material flow between industries and (2) explain the material flow and provide waste utilization recommendations for other industries to create a closed loop. The industries involved in this agro-eco-industrial park consist of the tofu industry, fertilizer producers, tempeh gembus producers, cattle farms, biodigesters, paddy farmers, soybean producers, and nata de soya producers. The model was created using a goal programming approach. Traditional tofu processing generally generates a variety of waste with high nutritional value, but it is detrimental to the environment if disposed of directly. The flow of materials among the related industries is based on the tofu industrial cluster, which consists of 30 industries in Grobogan, Central Java, Indonesia. The expected output comprises eight decision variables representing the production amount of industries. Data analysis reveals that the model outperforms the current conditions, with the waste recycling rate increasing from 14 % to 97 %. This model converts waste into valuable resources such as fertilizer and gas energy through biodigester processing and other economically viable methods.
Optimization of Heart Failure Classification on Imbalanced Data Using a Supervised Learning Approach Based on Logistic Regression, Random Forest, and K-Nearest Neighbor: Optimalisasi Klasifikasi Gagal Jantung pada Data Imbalanced Menggunakan Pendekatan Supervised Learning Berbasis Regresi Logistik, Random Forest, dan K-Nearest Neighbor agustina, feri; Irawan, Candra; Erawan, Lalang; Suprayogi; Award Widya Laksana, Deddy; Jatmoko, Cahaya; Sinaga, Daurat; Lestiawan, Heru
Jurnal Informatika Polinema Vol. 12 No. 1 (2025): Vol. 12 No. 1 (2025)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i1.9071

Abstract

Heart failure remains one of the leading causes of mortality worldwide, posing significant challenges for early diagnosis and patient management. One of the major obstacles in developing predictive models for heart failure is the class imbalance problem, where the number of surviving patients far exceeds those who experience death events. This imbalance often leads machine learning algorithms to bias toward the majority class, reducing sensitivity to critical minority cases. To address this issue, this study applies the Synthetic Minority Oversampling Technique (SMOTE) to balance the dataset and improve model performance. Three supervised learning algorithms, namely Logistic Regression (LR), Random Forest (RF), and K-Nearest Neighbor (KNN), were implemented and compared on the UCI Heart Failure Clinical Records dataset containing 299 patient samples with 13 clinical attributes. Experimental results show that the Random Forest model achieved the highest performance with 90% accuracy, precision, recall, and F1-score, outperforming both LR and KNN. The findings demonstrate that combining data balancing with ensemble learning effectively enhances prediction accuracy and sensitivity toward minority classes. The main contribution of this research lies in optimizing supervised models for medical data with skewed class distributions, providing a more reliable and interpretable approach for early heart failure detection. Future research may extend this work by integrating advanced ensemble or hybrid deep learning models and expanding the dataset for multi-institutional validation
Optimasi Ultrasound-Assisted Extraction pada Rimpang Bangle Hitam (Zingiber ottensii Valeton) serta Potensinya sebagai Antioksidan dan Antimikroba Putri, Imalia Dwi; Rosalina, Rosalina; Utami, Andita; Rahmatia, Lintannisa; Enriyani, Riri; Ismail, Ismail; Alminda, Alfian Fadhilah; Irawan, Candra
Journal Warta AKAB Vol 49, No 2 (2025): Desember 2025
Publisher : Politeknik AKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55075/wa.v49i2.289

Abstract

Penelitian ini bertujuan untuk mengoptimalkan metode Ultrasound-Assisted Extraction (UAE) pada rimpang bangle hitam (Zingiber ottensii Valeton) sebagai upaya pemanfaatan tanaman yang belum banyak terekspos, sekaligus menggantikan metode ekstraksi konvensional yang boros pereaksi dan kurang ramah lingkungan. Metode UAE dipilih karena lebih hemat pereaksi, efisien waktu, dan ramah lingkungan. Variasi waktu ekstraksi dan amplitudo diuji untuk memperoleh kondisi optimal. Pada penelitian ini dilakukan analisis scrining fitokimia, kemudian menentukan pengaruh pelarut terhadap aktivitas antioksidan dan antimikroba menggunakan pelarut etanol. Hasil penelitian menunjukkan bahwa aktivitas antioksidan tertinggi diperoleh pada perlakuan D, yaitu waktu ekstraksi 45 menit dengan amplitudo 65%, menghasilkan nilai EC₅₀ sebesar 62,69 mg/L, yang mengindikasikan aktivitas antioksidan kuat. Uji aktivitas antimikroba menunjukkan bahwa ekstrak etanol bangle hitam termasuk kategori sensitif terhadap Bacillus sp., Escherichia coli, dan Candida albicans, dengan potensi sebanding atau mendekati kontrol positif tetrasiklin. Kesimpulannya, ekstraksi rimpang bangle hitam dengan UAE pada kondisi optimal berpotensi menghasilkan senyawa bioaktif dengan aktivitas antioksidan dan antimikroba yang tinggi, sehingga memiliki prospek sebagai bahan nutrasetikal.
Development of a Web-Based and Mobile Psychological Consultation Queue Service at DP3AKB Balikpapan with API Ihsan; Sari, Danar Retno; Armin; Aditya, Angga Wahyu; Zulkarnain; Irawan, Candra
Jurnal Teknologi dan Manajemen Informatika Vol. 11 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v11i2.16081

Abstract

The increasing demand for effective public services necessitates a more efficient queue management system. This study aims to design and implement a real-time online queue application for web and mobile platforms, using the Django and Flutter frameworks, and integrating Application Programming Interfaces (APIs) as a bridge between the two platforms. The methodology applied is software engineering with a case study approach at Puspaga Harapan, Balikpapan City. The system design includes digitizing the registration, validation, consultation scheduling, and psychological reporting stages. The developed application enables users to register independently and provides administrators and psychologists with real-time access to manage client data through a responsive and secure interface. The results of the study, based on 19 respondents who assessed 15 questions via a Likert scale questionnaire, with an average percentage of 94.73%, indicate very satisfactory results. This suggests that the system improves service efficiency, speeds up the registration and consultation process, and produces more accurate report data. The development of this system can overcome various obstacles from manual systems and support digital transformation in psychological consultation services.
EDUKASI DAN PELATIHAN PENGGUNAAN TEKNOLOGI INTERAKTIF DALAM PENGEMBANGAN BAHAN AJAR IPA BERBASIS DIFERENSIASI BAGI GURU SMP Nasution, Eni Sumanti; Kasmawati, Kasmawati; Marpaung, Paisal Hamid; Irawan, Candra; Nasution, Fauziah
MINDA BAHARU Vol 9, No 2 (2025): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v9i2.8257

Abstract

Peningkatan profesionalisme guru dalam menyelenggarakan pembelajaran Ilmu Pengetahuan Alam (IPA) menjadi aspek penting untuk menghadapi tuntutan pendidikan abad ke-21 yang berbasis teknologi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkuat kompetensi guru di SMP Negeri 4 Angkola Timur dalam mengembangkan bahan ajar IPA interaktif menggunakan aplikasi digital dengan pendekatan model diferensiasi. Metode pelaksanaan dilakukan secara partisipatif dan kolaboratif melalui enam tahapan sistematis, yakni perencanaan, sosialisasi, pelatihan intensif, implementasi teknologi, pendampingan evaluasi, serta pengembangan berkelanjutan. Fokus materi pelatihan mencakup pemanfaatan aplikasi digital untuk penyusunan Rencana Pelaksanaan Pembelajaran (RPP), materi ajar visual, dan Lembar Kerja Peserta Didik (LKPD) digital. Evaluasi keberhasilan program diukur menggunakan angket kompetensi guru yang mencakup dimensi pedagogik, kepribadian, sosial, dan profesional. Hasil kegiatan membuktikan bahwa pemanfaatan platform digital secara efektif memberdayakan guru dalam menyusun bahan ajar IPA berbasis diferensiasi. Program ini berhasil meningkatkan keterampilan mitra dalam merancang pembelajaran yang lebih inovatif, adaptif, dan partisipatif, yang berdampak langsung pada peningkatan kualitas pembelajaran di sekolah. Integrasi teknologi interaktif dan model diferensiasi terbukti menjadi solusi strategis dalam optimalisasi kompetensi guru IPA
Effect of anode–cathode distance and anodizing time on hardcoat anodizing of AA7075 Endramawan, Tito; Haris, Emin; Rohmat, Yusup Nur; Irawan, Candra
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.6194

Abstract

Fishing activities in Indramayu ( a seaside city in West Java) typically use boats powered by propellers. These propellers often strike floating objects, resulting in damage such as cracked or broken blades. A survey revealed that the fractures are mainly caused by the poor quality of propellers produced using the gravity casting technique, which results in rough surfaces with pores and cracks that initiate during finishing. Therefore, surface repair is necessary, and one potential method is hardcoat anodizing. This study aims to investigate the effect of coating time and anode–cathode distance on the hardness of the oxide layer formed during the hardcoat anodizing process of AA7075 aluminum alloy. The anode–cathode distances were 5 cm, 10 cm, and 15 cm, with coating times of 40, 50, and 60 minutes. The process was conducted at 2 to 3°C, with a current of 5.12 A and a voltage of 31.5 V. The results of micro-Vickers hardness testing, conducted with a loading parameter of 200 gf and an indentation time of 15 seconds, indicated a hardness increase of 256% compared to the base material. The highest hardness value was achieved at a distance of 5 cm and a coating time of 60 minutes, measuring 322.9 VHN, with a resulting layer thickness of 67.16 µm.
Co-Authors Abu Salam Agus Winarno, Agus Agustina, Feri Akbar, Ilham Januar Al-Ghiffary, Maulana Malik Ibrahim Alfany, Fauzan Maulana Alhafish, Muhammad Radhi Almidawati Alminda, Alfian Fadhilah ALQORNI, NISA Alzami, Farrikh angga wahyu aditya Angow, Delicia Armin Award Widya Laksana, Deddy Azhar, Kheiza Noor Aulia Aziz, Fuad Abdul Azzahra, Faradhina Azzami, Salman Yuris Adila Barlah Rumhayati Basri Dahlan Bima, Aristides Bimo Seto, Kahfi Akmal Janitra Cahaya Jatmoko Cahyo, Nur Ryan Dwi Caturkusuma, Resha Meiranadi Christy Atika Sari Danar Retno Sari Debi, Yoga Tegar Ardi Dedy Pratama Diana Aqmala Edi Sugiarto Eko Hari Rachmawanto Eko Susanto Endramawan, Tito Eni Sumanti Nasution Eni Sumanti Nasution Enriyani, Riri Fahmi Amiq Farida Farida Fauziah Nasution Fikri Budiman Firmansyah, Aksal Fitri, Rahma Hadi, Heru Pramono Hari Purnama, Hari Haris, Emin Hasbi, Hanif Maulana Henny Pratiwi Adi Heru Lestiawan Hilmansyah Huda, Masrul Ifan Rizqa Ihsan Ika Novita Dewi Inzaghi, Reza Bayu Ahmad Irpan Kusyadi Isinkaye, Folasade Olubusola Ismail Ismail Jonnedi, Jonnedi Kango, Riklan Krismawan, Andi Danang Kusumawati, Yupie Laksana, Deddy Award Widya Lalang Erawan Lili Romli, Lili Lisandi, Anisa Marendra, Fajar Mariatul Kiptiah Menhard, Menhard Monica, Lala Munawaroh Munawaroh Muslih Muslih MY. Teguh Sulistyono Nawang Retno Ningrum, Amanda Prawita Nohan, Rejendra Novi Hendriyanto, Novi Nugraha, Dida Septiya Nur Rohmat, Yusup Nuraini Nuraini Nurhindarto, Aris Oryzanti, Parwa Paisal Hamid Marpaung Piliang, Arfah Pramudya, Muhammad Kemal Caesar Aqidah Purnomo, Hari Agus Putri, Ade Aisyah Arifna Putri, Imalia Dwi Rachmat Mudiyono, Rachmat Rahmatia, Lintannisa Rajali, Muhammad Ramadhan Rakhmat Sani Randy Pradityo Rasmon Ratna Purwaningsih Rosalina Rosalina Rosalina RR. Ella Evrita Hestiandari Saputra, Randika Septian, Wira Aditia Sidhiq, Restu Fajar Simatupang, Lisnawaty Sinaga, Bunga Riama Sinaga, Daurat Solichul Huda, Solichul Sri Hartini Sri Utami Kholilla Mora Siregar Suharnawi Suharnawi Suhartini Suhartini Sukiman, Maman Sulistiana, Oktavera Sulistiyono, MY Teguh suprayogi Supriatiningsih, Supriatiningsih Sutarni, Yayan Dwi Syukri, Muhammad Yazidus Tomy Andrianto Tumanggor, Mutawaqil Bilah Ulfa, Anis Aulia Umah Nur, Raisul Utami, Andita Wibowo, Isro' Rizky Widharto, Yusuf Widya Rahmawati WIRDAYANI WAHAB, WIRDAYANI Yudi Prana Hikmat Yulita, Rahma Zaenal Arifin Zubir, Zubir Zulkarnain