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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Public Health Science (IJPHS) Jurnal Pendidikan Vokasi Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Natural A Jurnal POINTER Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Jurnal Teknik Otomotif Kajian Keilmuan dan Pengajaran Jurnal Preventia Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Multimedia Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian, Pendidikan dan Teknologi Jurnal Graha Pengabdian Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Abdimas Indonesian Journal Prosiding Seminar Kesehatan Nasional Sexophone National Journal of Occupational Health and Safety
Marji Marji
Fakultas Ilmu Komputer, Universitas Brawijaya
Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Public Health Social Sciences Other

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Deskripsi Posisi Kerja berdasar Metode OWAS dan RULA: Studi Kasus Praktikum Pembuatan Baut di Laboratorium Teknik Mesin Universitas Negeri Malang Sari, Resti Novita; Permatasari, Adelia; Prawidiastri, Firnadila; Mountaz, Lotu; Marji, Marji; Sulistyorini, Anita
Prosiding Seminar Kesehatan Nasional Sexophone 2024: Kekerasan dalam Pacaran: Hubungan Romantis Berujung Tragis
Publisher : Universitas Negeri Malang

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Abstract

Non-ergonomic work positions can lead to fatigue and discomfort, increasing the risk of Musculoskeletal Disorders (MSDs) and injuries. This study aims to observe and describe work positions during a practical activity of bolt manufacturing among engineering students at the Faculty of Engineering. Work position assessments were conducted using the OWAS and RULA methods. Through direct observation, students were evaluated in two stages of the practical activity: winding and drilling. The results showed that the working positions of students during the practicum tended to be non-ergonomic, with OWAS scores in the threading and drilling divisions being 2 with a hazardous category for all subjects, indicating that the working posture is dangerous and requires future improvements. The RULA scores in the threading division were 6, and in the drilling division, they were 5, both in the high-risk category, suggesting the need for immediate corrective actions and changes. The conclusion of this study is that improvements in non-ergonomic working positions are necessary for industrial engineering students during bolt-making practicum activities to reduce the risk of injury, prevent MSDs, and increase productivity in the work environment.
Automated menu planning for pregnancy based on nutrition and budget using population-based optimization method Kurnianingtyas, Diva; Daud, Nathan; Arai, Kohei; Indriati, Indriati; Marji, Marji
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3483-3492

Abstract

Nutritional fulfilment during pregnancy depends on the budget. Meanwhile, nutrition is needed during pregnancy to keep the mother and fetus healthy. Therefore, this study aims to assist maternal nutrition planning by using population-based optimization methods such as genetic algorithm (GA), particle swarm optimization (PSO), duck swarm algorithm (DSA), and whale optimization (WO) according to their nutritional needs at minimum cost. Additionally, this study compares the method performance to find the best method. There are 55 foods obtained from previous studies divided into five groups: staple food (SF), vegetables (VG), plant-source food (PS), animal-source food (AS), and complementary (CP). The model evaluation results show that GA's performance differed significantly from other models because it obtained the highest fitness by 439.73 and more variation in fitness results. Three models other than GA have no significant difference, but DSA performance obtained a superior fitness of 367.18. Furthermore, optimization methods must be combined with other artificial intelligence methods to develop innovative technology to support maternal nutrition and prevent stunting.
Improving multilayer perceptron on rainfall data using modified genetics algorithm Marji, Marji; Mahmudi, Wayan Firdaus; Handamari, Endang Wahyu; Santoso, Edy; Arifin, Maulana Muhamad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3994-4005

Abstract

Rainfall prediction is essential for managing water resources, agriculture, and disaster response, particularly in regions affected by climate variability. This study introduces a modified genetic algorithm (MGA) to optimize hyperparameters of a multilayer perceptron (MLP) for rainfall forecasting. The MGA incorporates elitism to retain top-performing solutions and adaptive selection based on model accuracy. The proposed MGA–MLP model was tested on rainfall datasets from Australia and Indonesia (BMKG). Experimental results show that configurations with two hidden layers, rectified linear unit (ReLU) activation and limited-memory Broyden Fletcher Goldfarb Shannon (LBFGS) optimizer, a learning rate of 0.001 and 1000 epochs consistently delivered strong performance. The model achieved accuracies of 86.02% and 79.05%, respectively. These findings indicate that MGA significantly improves MLP performance and provides a reliable, generalizable method for rainfall prediction across diverse climatic conditions.
Pemetaan Data Dan Visualisasi Kedalaman Air Pada Bendungan / Waduk Rahayudi, Bayu; Marji, Marji
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 4 No 2: Juni 2017
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.9 KB) | DOI: 10.25126/jtiik.201742305

Abstract

AbstrakPenelitian dilakukan untuk melakukan pemetaan data dan visualisasi kedalaman air suatu waduk. Hasil dari pemetaan dan visualisasinya digunakan untuk mengetahui kontur endapan  dan volume waduk. Pemetaan dilakukan dengan memprediksi titik-titik yang tidak diketahui kedalaman airnya berdasarkan titik-titik yang diketahui kedalaman airnya. Metode prediksi yang digunakan pada penelitian ini adalah metode interpolasi IDW (Inverse Distance Weighting), yaitu perhitungan rata-rata n buah titik, dimana titik-titik terdekat memiliki bobot pengaruh yang lebih besar dibandingkan titik-titik hasil pengukuran yang lebih jauh. Digunakannya metode ini bertujuan agar proses prediksi yang dilakukan dapat dilakukan dengan cepat, karena prediksi dilakukan untuk banyak titik-titik lain yang belum diketahui kedalaman airnya. Dari hasil penelitian diperoleh hasil bahwa jumlah titik yang paling baik digunakan untuk memprediksi titik yang tidak diketahui kedalaman airnya adalah sebanyak 5 buah titik terdekat. Data yang digunakan sebagai data percobaan pada penelitian ini adalah data pengukuran kedalaman air di waduk atau bendungan Wonorejo tahun 2004 dan tahun 2005. Hasil dari penelitian ini adalah suatu perangkat lunak yang digunakan untuk melakukan pemetaan dan memvisualisasikan kedalaman air di suatu waduk atau bendungan.Kata kunci: visualisasi, pemetaan, interpolasi, inverse distance weighting (idw)AbstractPrediction has been widely used in every research and field. In water level visualization system, prediction can be used for measuring water level at the dam. From the measurement, can be known the dam contour and also its water volume. The prediction can be done by measuring water level at several certain points, and used the points to predict another unmeasure points. Prediction metode used in this research is inverse distance weighting (IDW) interpolation, which were using greater weighting on neaerer point than farther point. From this research known that using 5 nearest point will result optimum prediction. This metode is used in order to get faster result because of thousand prediction will be done. Data used in this research are water level measurement data of Wonorejo dam in 2004 and 2005. The result of this research is a program that can be used to map and visualize water level of a dam.Keywords: visualization, mapping, interpolation, inverse distance weighting (idw)
Hubungan Repetitive Motion, Beban Kerja, Shift Kerja, dan Kualitas Tidur dengan Kelelahan Kerja pada Petugas Aviation Security Sari, Cindy Puspita; Sulistyorini, Anita; Marji, Marji; Fanani, Erianto; Tama, Tika Dwi
National Journal of Occupational Health and Safety Vol. 6, No. 1
Publisher : UI Scholars Hub

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Abstract

The aviation sector is one of the work areas that requires the implementation of Occupational Health and Safety (OHS). Work in the aviation sector also presents various risks, one of which can occur in work accidents caused by fatigue. Based on preliminary studies conducted on Aviation Security Officers (AVSEC), there are symptoms of work fatigue. The study aims to determine the relationship of repetitive motion, workload, work shifts, and sleep quality with job fatigue in AVSEC officers. The research used a quantitative observational study with an analytic design through a cross-sectional approach with a total of 76 AVSEC officers. The instruments are stopwatch to measure repetitive motion, NASA-TLX questionnaire to measure the level mental workload, pulse oximeter to determine physical workload, PSQI questionnaire to determine sleep quality, and IFRC questionnaire to determine work fatigue. Data analyzed using Spearman's rank test and ordinal logistic regression test. The results show a significant relationship between all independent variables, namely repetitive motion (p-value <0.001), mental workload (p value <0.001), physical workload (p value = 0.041), work shift (p value = 0.002), and sleep quality (p value <0.001) with job fatigue. The most related variable in this study with work fatigue variable is mental workload variable (p-value = 0.002).
Pengaruh Penerapan Teknik Relaksasi Otot Progresif Berbasis Musik Instrumental terhadap Gejala Stres Kerja pada Pegawai di Dinas Kesehatan Kabupaten Probolinggo Barlian, Salwa Isna; Sulistyorini, Anita; Marji, Marji; Kurniawan, Agung
National Journal of Occupational Health and Safety Vol. 6, No. 1
Publisher : UI Scholars Hub

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Abstract

Work stress symptoms are a condition where there is a mismatch between a person's condition and work demands, resulting in mental (psychological), physical, and behavioral disorders. Government employees are among those who are vulnerable to experiencing work stress symptoms. Based on preliminary study results, the Probolinggo Regency Health Office is one of the type A offices with a high workload, and several employees have been found to experience symptoms of work stress. The purpose of this study was to determine the effect of applying instrumental music-based progressive muscle relaxation techniques on work stress symptoms in employees at the Probolinggo Regency Health Office. The method used in this study was a quasi-experiment with a non-equivalent control group design. A total of 50 samples were selected using the proportionate stratified random sampling technique. This study used the Short Version of the New Brief Job Stress Questionnaire (SV-NBJSQ) to measure work stress symptoms in employees. Data was analyzed using the McNemar test because the data were not normally distributed, as shown by the normality test result with a significance value of
Efektivitas Full Body Stretching dan Edukasi Manual Handling Digital terhadap Keluhan Musculoskeletal Disorders Pekerja Yantek Rosalinda, Nadia; Sulistyorini, Anita; Marji, Marji; Supriyadi, Supriyadi; Tama, Tika Dwi
National Journal of Occupational Health and Safety Vol. 5, No. 2
Publisher : UI Scholars Hub

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Abstract

Occupational Diseases (PAK) in the form of pain complaints in the skeletal system that cause the work process are called Musculoskeletal Disorders (MSDs). PT. PLN Yantek workers are at risk of experiencing MSDs complaints because the work is done manually and the work posture is less ergonomic. This study aimed to analyze the effect of implementing full-body stretch and digital-based manual handling education and to assess its effectiveness on MSDs. The study used a quasi-experimental method with a one-group pretest-posttest design involving 26 Yantek workers. The intervention was given at 10 meetings, MSDs complaints were measured using the Nordic Body Map questionnaire and analyzed using a paired sample t-test with a significance of α = 0.005. The study's results on the full body stretch variable and digital-based manual handling education in the experimental group showed a p-value of 0.000, which means there are differences in MSDs complaints before and after the intervention. The full-body stretch intervention results showed a mean difference of 13.27, while the digital-based manual handling education intervention showed a mean difference of 10.58. Therefore, both interventions have the same effect in reducing MSDs complaints, but whole-body stretching showed greater effectiveness. Keywords: musculoskeletal disorders (MSDs), full body stretching, digital-based manual handling education
Co-Authors Achmad Burhannudin Adam Hendra Brata Adhikari, Basanta Prasad Adhiyatma Mugiprakoso Afifah, Nadiyah Hanun Agi Putra Kharisma Agung Kurniawan Agustian, Moch. Alfredo Barta Ahmad Fauzan Rahman Ahmad, Baihaqi Aldy Satria Andika Harlan Andini Agustina Anita Sulistyorini Annisa Selma Zakia Ardhimas Ilham Bagus Pranata Arifin, Maulana Muhamad Asti Melani Astari Atika Anggraeni Audi Nuermey Hanafi Bagus Abdan Aziz Fahriansyah Bahruddin El Hayat Baihaq, Firda Barlian, Salwa Isna Bayu Rahayudi Bayu Septyo Adi Budi Darma Setiawan Budi Darma Stiawan Cahyo Adi Prasojo Candra Ardiansyah Choirul Anam Cindy Puspita Sari Cindy Rizki Amalya Dani Irawan Daud, Nathan Dea Widya Hutami Dewi Yanti Liliana Dian Eka R Dian Eka Ratnawati Djoko Kustono Dwi Yana Wijaya Dyva Agna Fauzan Edy Santoso Edy Santoso Edy Santoso Endang Wahyu Handamari Erwin Komara Mindarta Fanani, Erianto Fatih Kamala Nurika Gilang Ramadhan Gustian Ri&#039;pi Hadi, Moch. Sholihul Handoyo, Samingun Hary Suswanto Hasan Ismail Ilham Romadhona Imam Cholisoddin Imam Cholissodin Imam Muda Nauri Imran Imran Indriati Indriati Indriati Indriati Issa Arwani Istiana Rachmi Istiqomah, Mutiara Titian Januar Dwi Amanda Jeffrey Simanjuntak Kenty Wantri A Kohei Arai Kurnianingtyas, Diva Lailatul Fitriah Lailil Muflikah Lailil Muflikhah Lailil Muflikkah Laily Putri Rizby Laksono Trisnantoro Leni Istikomah Liana Shanty Wato Wele Keaan Lilik Zuhriyah Lilis Damayanti Luthfi Faisal Rafiq M Chandra Cahyo Utomo M. Alfian Mizar Made Bela Pramesthi Putri Mahmudi, Wayan Firdaus Maududi, Affan Al Michael Adrian Halomoan Mochammad Pratama Viadi Mountaz, Lotu Muchammad Harly Muhamad Altof Muhamad Hilmi Hibatullah Muhammad Fakhri Mubarak Muhammad Hafidzullah Muhammad Indra Harjunada Muhammad Ramanda Hasibuan Muhammad Rizkan Arif Muhammad Robby Dharmawan Muhammad Tanzil Furqon Muhammad, Naufalsyah Falah Muzdalifah Yully Ayu Nonny Aji Sunaryo Nurul Hidaya Nurul Hidayat Nurul Hidayat Okvio Akbar Karuniawan P. P. S, Gladis Viona Pangestu, Wiyan Dwi Panji Prasuci Saputra Paryono Permadani , Anda Permatasari, Adelia Pratitha Vidya Sakta Prawidiastri, Firnadila Pricielya Alviyonita Rafely Chandra Rizkilillah Ratih Kartika Dewi Ratna Candra Ika Razaq, Hilal Nurfadhilah Retiana Fadma Pertiwi Sinaga Revinda Bertananda Riana Nurmalasari Ricky Irfandi Ricky Marten Sahalatua Tumangger Rizqi Addin Arfiansyah Rosalinda, Nadia Ryan Mahaputra Krishnanda Sabrina Hanifah Sari, Resti Novita Shinta Anggun Larasati Sri Wahyuni Sri Widyarti Sumarli Sumarli, Sumarli Supraptoa Supraptoa Supriyadi Supriyadi Sutrisno Sutrisno Swandy Raja Manaek Pakpahan Syarif Suhartadi Tahtri Nadia Utami Tawang Wulandari Tika Dwi Tama Usman Adi Nugroho Wayan Firdaus Mahmudy Wulandadi, Retno Yamlikho Karma Yayuk Wiwin Nur Fitriya Yuita Arum Sari Yusufrakadhinata, Muhammad Zulianur Khaqiqiyah