Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Bima Abdi: Jurnal Pengabdian Masyarakat Jurnal Riset Ilmu Teknik
Saul Weipsa
Universitas Internasional Papua
Education Engineering Languange, Linguistic, Communication & Media Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Etnosains: Pendampingan Pengenalan Konsep Sains melalui Budaya Papua (Pinang, Sagu, Papeda, Noken, Tifa, dan Musamus) di Sekolah Dasar Ardian Hangga Kelana; Saul Weipsa; Titia Erika Sarlota Awom; Yekson Soll; Sakka Irawan; Angel Paradise Raggiana Mambrasar; Stevani Gracia Papuana Kopeuw; Haikel Fabregas Menanti
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): Bima Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/ba-jpm.v6i1.4023

Abstract

Pelaksanaan kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk mempraktikkan pembelajaran “Etnosains: Pendampingan Pengenalan Konsep Sains melalui Integrasi Budaya Papua (Pinang, Sagu, Papeda, Noken, Tifa, dan Musamus) di Sekolah Dasar” Negeri Inpres Bertingkat Waena Jayapura. Pendekatan ini dilakukan untuk menjembatani antara materi sains formal dengan kearifan lokal Papua agar lebih kontekstual bagi peserta didik. Data dikumpulkan melalui kuesioner, wawancara mendalam terhadap peserta didik, wali Kelas V B, dan kepala sekolah, serta dokumentasi kegiatan. Instrumen kuesioner menggunakan tiga kategori jawaban (Ya, Tidak, dan Ragu-ragu) yang dianalisis secara deskriptif. Hasil pengabdian kepada masyarakat menunjukkan respons yang sangat positif, di mana jawaban responden didominasi oleh pilihan "Ya" mencapai rata-rata 92,2% sehingga pendampingan pengenalan konsep sains melalui budaya Papua di SD Negeri Inpres Bertingkat Waena berhasil dilakukan. Lebih lanjut, hasil wawancara juga mengonfirmasi bahwa penggunaan unsur budaya lokal Papua mampu meningkatkan motivasi belajar IPA (sains) peserta didik. Program ini berhasil menciptakan suasana belajar yang lebih bermakna dan relevan dengan lingkungan tempat tinggal peserta didik.
Analysis of Crude Palm Oil (CPO) Production Quality Control Using the Seven Tools Saul Weipsa
Jurnal Riset Ilmu Teknik Vol. 4 No. 2 (2026): Jurnal Riset Ilmu Teknik
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v4i2.393

Abstract

Crude palm oil (CPO) quality is affected by free fatty acid (FFA/ALB), moisture, and dirt content, which can reduce product quality and economic value. This study analyzes quality-control implementation at PT Tandan Sawit Papua, Arso Timur, using the Seven Tools and identifies dominant quality problems and potential causes requiring verification. A quantitative case-study design used daily quality records from 15 days in January 2026, divided into two shifts. The dataset comprised 30 shift-level observations, 1,500 samples, and 3,826 tons of CPO production. Analyses included check sheets, shift stratification, Pareto diagrams, p-control charts, scatter diagrams, flowcharts, and fishbone diagrams. Results showed 148 parameter-level off-specification occurrences, equivalent to 9.87% of tested samples, although this represents an occurrence rate because individual samples could fail multiple parameters. FFA/ALB was dominant with 92 occurrences (62.16%), followed by moisture with 37 (25.00%) and dirt with 19 (12.84%). The pooled p-chart initially identified one special-cause signal; however, shift-specific limits showed that the observation remained within Shift 2 limits. Shift 1 recorded a 4.93% occurrence rate, while Shift 2 reached 14.80%. The pooled production–defect correlation (r = −0.675) was confounded by shift differences, whereas within-shift correlations were weak and insignificant. Shift-adjusted regression confirmed shift as the dominant predictor. The 5.00% FFA limit followed SNI 01-2901-2006, while moisture and dirt limits were stricter than commonly cited national limits. Fishbone analysis identified material, method, machine, personnel, environment, and measurement as candidate causes. However, these remain hypotheses. Verification of unique defective samples, continuous laboratory results, applicable specifications, and shift-specific process records is required before corrective actions and statistical-control baselines are established.
Efficiency Analysis of the Analysis of Diesel Fuel Refilling Queue Efficiency Using Queueing Theory at the Hawai Sentani Gas Station, Jayapura Regency Saul Weipsa; Yekson Soll
Jurnal Riset Ilmu Teknik Vol. 4 No. 2 (2026): Jurnal Riset Ilmu Teknik
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v4i2.391

Abstract

The diesel-fuel line at SPBU Hawai Sentani, Jayapura Regency, reportedly experiences heavy queuing, although its operating characteristics had not been quantitatively established. This study evaluates the existing single-server queue and an analytical two-server scenario. Vehicle arrivals were recorded on seven observation days—August 5–10 and 12, 2026—during the 07:00–17:00 WIT operating period. August 11 was not observed for an undocumented reason. A total of 2,680 arrivals produced an average arrival rate of 38.29 vehicles per hour. Based on 10 timed observations, mean service time was 1.35 minutes (SD = 0.158), corresponding to a service rate of 44.44 vehicles per hour. The existing system was modeled as M/M/1, while the two-server configuration was evaluated analytically as M/M/2. Because the observed service-time coefficient of variation was only 11.7%, substantially below the 100% implied by an exponential distribution, an M/G/1 Pollaczek–Khinchine calculation using empirical variance was included as a cross-check. Under M/M/1, utilization was 0.8616, average queue length was 5.36 vehicles, and average waiting time was 8.41 minutes. Under M/M/2, per-server utilization was 43.08%, P0 was 0.398, average queue length was 0.196 vehicles, waiting time was 0.31 minutes, and the Erlang-C probability of waiting was 0.259. The M/G/1 model predicted a 4.25-minute wait, approximately half the M/M/1 estimate. Sensitivity analysis showed waiting time increasing sharply as arrivals approached service capacity. Limitations include the small service-time sample, absence of hourly arrival data, untested distributional assumptions, and unresolved discrepancies between modeled averages and reported multi-hour waits. Thus, the two-server scenario conditionally predicts shorter waits but does not establish that adding a service line is the optimal investment. Decisions also require analysis of costs, available land, staffing, fuel supply, operational disruptions, and direct field validation.
Co-Authors Angel Paradise Raggiana Mambrasar Ardian Hangga Kelana Haikel Fabregas Menanti Sakka Irawan Stevani Gracia Papuana Kopeuw Titia Erika Sarlota Awom Yekson Soll