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All Journal Ensiklopedia of Journal Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Ilmu Pendidikan Indonesia International Journal of Multidisciplinary Reseach KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Rasi Kasim Samosir
Universitas Cenderawasih
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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Pelaksanaan Pelatihan Pemetaan Minat Karir dalam Memilih Konsentrasi Perkuliahan Mahasiswa Fanny kristin Tantyah Sitompul; Isma Shalihi Ahlia; Sheilla Putri Agustin; Iriando Wijaya; Palti Maretto Caesar Manalu; El Shaddai Sandhy Pustap; Musa Kris Payokwa; Rasi Kasim Samosir
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 1 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i1.7280

Abstract

Students’ confusion in selecting a study concentration presents a significant challenge in early career planning. The Management Study Program (S1) at Cenderawasih University faces an imbalance in student interest across concentrations, indicating a limited understanding of individual interests, personality traits, and career prospects. To address this issue, a community service initiative in the form of a career interest mapping workshop was conducted. This training equipped students with interest assessments, personality tests, and skill evaluations. A total of 59 second-semester students participated, facilitated by faculty members from each concentration and HR practitioners. The evaluation results revealed a significant improvement in participants’ understanding of the interrelation between personal interests, personality types, and study concentration choices. The training proved effective in enhancing students’ self-awareness and supporting more informed academic decisions aligned with their potential and personal career goals.
INDIGENOUS KNOWLEDGE SYSTEMS VIN URBAN PLANNING: SCIENTIFIC INTEGRATION OF PAPUAN TRADITIONAL WISDOM IN CONTEMPORARY CITY DEVELOPMENT Lazarus Ramandei; Rasi Kasim Samosir
International Journal of Multidisciplinary Reseach Vol. 2 No. 2 (2026): April
Publisher : International Journal of Multidisciplinary Reseach

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Abstract

This study examines the integration of indigenous knowledge systems (IKS) from Papuan communities into contemporary urban planning frameworks in Jayapura, the capital city of Papua Province, Indonesia. Rapid urbanization in Papua has created significant tensions between modern city development paradigms and the deeply rooted traditional wisdom of indigenous Papuan peoples, including the Sentani, Tobati-Enggros, and Ormu communities. Employing a qualitative research methodology with ethnographic and participatory approaches, the study explores how traditional ecological knowledge, spatial cosmologies, and community governance structures can be scientifically operationalized within urban master plans. Data were collected through in-depth interviews with community elders, urban planners, and local government officials, supplemented by field observations and document analysis. Findings reveal that Papuan indigenous knowledge offers robust frameworks for sustainable land use, water management, and social cohesion that are largely overlooked by conventional planning instruments. The study concludes that a decolonizing approach to urban planning, one that systematically incorporates indigenous epistemologies as co-equal knowledge systems, can produce more culturally responsive, ecologically sustainable, and socially just cities in Papua. Policy recommendations for institutional mechanisms to formalize this integration are provided.
ANALYSIS OF ENVIRONMENT-BASED WASTE MANAGEMENT POLICY (CASE STUDY: KALIBOBO URBAN VILLAGE, NABIRE DISTRICT, NABIRE REGENCY) Isak O. Tebai; Lazarus Ramandei; Rasi Kasim Samosir
International Journal of Multidisciplinary Reseach Vol. 2 No. 2 (2026): April
Publisher : International Journal of Multidisciplinary Reseach

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Abstract

Waste management remains a critical challenge in developing regions of Eastern Indonesia, particularly in Kalibobo Urban Village, Nabire District, Central Papua Province. This study analyzes the availability of waste management facilities and the implementation of environment-based waste management policy in Kalibobo. A qualitative descriptive approach was employed through field observations, interviews, and secondary data from BPS and the Environmental Agency (DLH) of Nabire Regency. Findings reveal that Kalibobo serves a population of 15,185 residents (3,796 households) with only one waste container far below the SNI 3242:2008 standard requiring 8–19 units. Service coverage is estimated at less than 20% of the village area. The 3R (Reduce, Reuse, Recycle) implementation rate is critically low at approximately 6%, and no TPS3R or waste bank exists. A significant policy-implementation gap is identified between national targets (30% waste reduction, 70% waste handling by 2025) and on-the-ground realities. The study recommends urgent infrastructure expansion, institutionalization of community-based 3R programs, and acceleration of the 2025–2026 DLH Roadmap to achieve sustainable and environment-based waste management.
CLASSIFICATION OF PNEUMONIA DISEASE USING THE MINI XCEPTION MODEL ON X-RAY DATA Anggrainy Togi Marito Siregar; Dina Jumiatul Fitri; Happy Alyzhya Haay; Rasi Kasim Samosir
Jurnal Ilmu Pendidikan Indonesia Vol 14 No 2 (2026): JURNAL ILMU PENDIDIKAN INDONESIA
Publisher : Master of Science Education Program, Postgraduate Program of Cenderawasih University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/jipi.v14i2.5602

Abstract

Pneumonia is a disease that often causes death in Indonesia. In general, many that cause a person to develop pneumonia include pneumonia due to bacterial, viral, mycoplasma pneumonia, fungal pneumonia. There are many ways to detect a patient grouped into one type of pneumonia. One way is to use an X-ray machine. X-ray is technology that can send waves of electromagnetic radiation briefly to scan the condition of the inside of the body. In this study, we tried to classify patients affected by bacterial pneumonia and viral pneumonia as well as normal people. The data we use is a picture of the lungs taken from the X-ray results. This research was conducted by applying the mini Xception model using the python program. The model can predict the results of X-ray scans that belong to the class of bacterial pneumonia very well, as seen from the value of precision and sensitivity of 80 and 97 percent, respectively. Viral pneumonia class can not be predicted as good as the two previous classes, but the results obtained are quite good as seen from the value of precision and sensitivity of 85 and 67 percent, respectively. The overall accuracy of the model obtained is 0.86.
KOMPARASI REGRESI ZIP DAN REGRESI ZINB PADA DATA KEMATIAN BAYI DI JAWA BARAT Dina Jumiatul Fitri; Anggrainy Togi Marito Siregar; Happy Alyzhya Haay; Rasi Kasim Samosir
Ensiklopedia of Journal Vol 8, No 1 (2025): Vol. 8 No. 1 Edisi 2 Oktober 2025
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33559/eoj.v8i1.3439

Abstract

Poisson regression analysis is a nonlinear regression that is usually used for discrete data and assumes equidispersion. In practice, there is often a violation of assumptions equidispersion, one of the violations is overdispersion (the variance is greater than the average value). One of the causes of overdispersion is the excessive number of zero values (Excess Zero) on the response variable. Excess zeros can be seen in the proportion of response variables which is zero greater than any other discrete data. There are many methods to overcome overdispersion: Zero Inflated Poisson (ZIP) regression and Zero Inflated regression Negative Binomial (ZINB). The purpose of this study is to determine the regression model which is better used on data that experience overdispersion. Data used to analyze ZIP and ZINB regression is the data of infant death in West Java Province in 2021. Based on the study’s result, it is known that the Akaike Information Criterion (AIC) value in the ZINB regression is smaller than the ZINB regression AIC value. So the ZINB regression is better used as well as the factor of infant death.Keywords: Overdispersion; Poisson Regression; ZIP; ZINB; Infant Death
Perbandingan Model Long Short-Term Memory (LSTM) dan ARIMA untuk Prediksi Inflasi dan Indeks Harga Konsumen (IHK) di Kota Jayapura Happy Alyzhya Haay; Anggrainy Togi Marito Siregar; Dina Jumiatul Fitri; Rasi Kasim Samosir
Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya Vol 12 No 2 (2026): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v12i2.677

Abstract

Inflasi dan Indeks Harga Konsumen (IHK) merupakan indikator makroekonomi penting yang memerlukan model prediksi yang andal untuk mendukung pengambilan keputusan. Penelitian ini membandingkan kinerja model Long Short-Term Memory (LSTM) dan Autoregressive Integrated Moving Average (ARIMA) dalam memprediksi Inflasi dan IHK menggunakan data deret waktu bulanan. Model LSTM dilatih dengan mekanisme EarlyStopping untuk mencegah overfitting, dan diuji pada empat konfigurasi panjang timesteps (3, 6, 9, dan 12). Hasil terbaik diperoleh pada timesteps = 9, yang kemudian dibandingkan dengan model ARIMA(1,1,1).. Evaluasi dengan metrik Mean Squared Error (MSE), Mean Absolute Error (MAE), dan koefisien determinasi (R²) menunjukkan bahwa untuk variabel Inflasi, kedua model menghasilkan R² negatif (LSTM = -0,012; ARIMA = -0,027), yang mengindikasikan kedua model belum mampu mengungguli prediksi nilai rata-rata sederhana. Untuk variabel IHK, LSTM menunjukkan performa lebih baik dibandingkan ARIMA (R² = 0,197 berbanding -0,002), meskipun kemampuan penjelasan variansnya masih tergolong rendah. Penelitian ini mengonfirmasi bahwa keterbatasan jumlah data historis menjadi kendala utama bagi model deep learning seperti LSTM, sehingga model sederhana seperti ARIMA tetap kompetitif pada kondisi data yang minim.
PENERAPAN METODE GASING DALAM PEMBELAJARAN MATEMATIKA DASAR BAGI SISWA SEKOLAH DASAR DI KAMPUNG KAYU PULO KOTA JAYAPURA Dina Jumiatul Fitri; Anggrainy Togi Marito Siregar; Happy Alyzhya Haay; Rasi Kasim Samosir; Johannes Ferdinand Wally; Alfrida Milka Yaru
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 7 No. 4 (2026): Inpress Vol. 7 No. 4 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v7i4.60163

Abstract

Kegiatan pengabdian ini berfokus pada rendahnya kemampuan numerasi dasar siswa Sekolah Dasar di Kampung Kayu Pulo, Kota Jayapura. Tujuan kegiatan adalah meningkatkan pemahaman konsep operasi hitung melalui penerapan metode GASING (Gampang, Asyik, dan Menyenangkan). Metode yang digunakan berupa pembelajaran interaktif dengan pendekatan bertahap, dimulai dari penyampaian konsep sederhana, latihan interaktif, hingga aktivitas yang menyenangkan. Kegiatan dilaksanakan selama satu hari dengan melibatkan 15 siswa. Hasil menunjukkan adanya peningkatan kemampuan numerasi dasar, dengan capaian siswa antara 2 hingga 5 soal benar dari total 5 soal, serta rata-rata sebesar 3,6. Selain itu, terjadi peningkatan partisipasi, motivasi, dan kepercayaan diri siswa dalam belajar matematika. Metode GASING terbukti efektif dalam menciptakan pembelajaran yang lebih mudah dipahami, interaktif, dan menyenangkan.
Co-Authors Alfrida Milka Yaru Anggrainy Togi Marito Siregar Dina Jumiatul Fitri Fanny kristin Tantyah Sitompul Happy Alyzhya Haay Iriando Wijaya Isak O. Tebai Isma Shalihi Ahlia Johannes Ferdinand Wally Lazarus Ramandei Musa Kris Payokwa Palti Maretto Caesar Manalu Pustap, El Shaddai Sandhy Sheilla Putri Agustin