Garuda - Garba Rujukan Digital

FROM TRADITION TO TOURISM: SUSTAINABLE MANAGEMENT STRATEGY FOR RUTONG DIGITAL HERITAGE VILLAGE COMPETITIVENESS Aunalal, Zany Irayati; Tangnga, Meiske Helena; Luturmas, Join Rachel; Hahury, Jessy Juniu; Titioka, Stenly Ronaldo; Siahaya, Joice
Jurnal Maneksi (Management Ekonomi Dan Akuntansi) Vol. 14 No. 3 (2025): Jurnal Maneksi (Management Ekonomi Dan Akuntansi)
Publisher : Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jm.v14i3.3288

Introduction: This research develops sustainable management strategies to enhance the competitiveness of Rutong Village as Indonesia's first digital tourism destination in the South Leitimur District, Ambon CityMethods: Employing a qualitative approach with SWOT-AHP analysis, the study engaged 15 key informants through in-depth interviews, participatory observation, and focus group discussions.Results: The analysis reveals critical internal factors, including natural beauty (68% coral coverage), rich cultural heritage (12 oral traditions, 6 traditional dances), and national recognition as a Digital Heritage Village (ADWI 2023), alongside challenges of limited accessibility, inadequate promotion, and seasonal dependence. External factors encompass government support opportunities, eco-tourism trends, and digitalization potential, while facing threats from destination competition, environmental degradation, and climate vulnerabilities. The research yields eight prioritized strategies, with SO1 (Integrated Tourism Attraction Enhancement) ranking highest, followed by SO2 (Strategic Partnerships), and WO1 (Sustainable Eco-Tourism Development). Implementation prioritizes strengthening unique cultural-natural synergies, developing strategic collaborations, and establishing sustainable tourism infrastructure. This framework provides a replicable model for traditional villages balancing economic growth with cultural preservation and environmental sustainability. Keywords: Sustainable tourism, digital heritage village, competitiveness strategy, SWOT-AHP analysis, community-based tourism.

Peningkatan Literasi Digital dan Keamanan Siber Bagi Siswa SMAS BPD Tobelo Selatan Pattiasina, Tiska; Luturmas, Join Rachel; Fredriksz, Grace; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 4 (2025): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i4.1093

The development of digital technology has had a significant impact on high school students, particularly in their use of the internet and social media. However, the lack of digital literacy and cybersecurity awareness remains a problem that needs to be addressed. This community service activity aims to improve digital literacy and cybersecurity understanding among students at SMAS BPD Tobelo Selatan. The methods used included lectures, discussions, and QA sessions, with material covering digital literacy, social media ethics, cyberbullying, hoaxes, and personal data protection. The activity was held offline on September 7, 2025, with 15 students participating. Evaluation was conducted using a Guttman Scale questionnaire to assess participant responses to the activity. Results showed that all students (100%) expressed satisfaction, indicating that the activity successfully improved students' understanding of digital literacy and cybersecurity. Therefore, this community service activity makes a positive contribution in equipping students with wise, safe, and responsible digital skills to face the challenges of the digital era.

PERBANDINGAN KINERJA ALGORITMA SVM DAN NAIVE BAYES PADA KLASIFIKASI PRESTASI AKADEMIK SISWA: STUDI KASUS SMAS BPD TOBELO SELATAN Pattiasina, Tiska; Fredriksz, Grace; Luturmas, Join Rachel; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S; Jupriyanto, Jupriyanto
Jurnal Teknologi Informasi Mura Vol 18 No 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2915

Students’ academic achievement is an important indicator of the success of the educational process; however, its assessment is often subjective and not yet fully data-driven. Therefore, a systematic analytical approach is required to classify students’ academic achievement objectively and accurately. This study aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in classifying the academic achievement of grade III students at SMAS BPD Tobelo Selatan. A data mining approach using classification techniques was applied, involving 17 attributes as predictor variables and two target classes of academic achievement, namely Very Good and Good. Data processing and model evaluation were conducted using the WEKA software, with performance measured through accuracy, precision, recall, and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The results indicate that the SVM algorithm achieves the best performance in terms of accuracy, precision, and recall, each reaching 97.78%, while the Naive Bayes algorithm obtains the highest AUC-ROC value of 98.08%. These findings demonstrate that SVM is superior in prediction accuracy, whereas Naive Bayes shows excellent capability in class discrimination. This study is expected to support data-driven academic decision-making in school environments.

PERBANDINGAN KINERJA ALGORITMA SVM DAN NAIVE BAYES PADA KLASIFIKASI PRESTASI AKADEMIK SISWA: STUDI KASUS SMAS BPD TOBELO SELATAN Pattiasina, Tiska; Fredriksz, Grace; Luturmas, Join Rachel; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S; Jupriyanto, Jupriyanto
Jurnal Teknologi Informasi Mura Vol 18 No 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2915

Students’ academic achievement is an important indicator of the success of the educational process; however, its assessment is often subjective and not yet fully data-driven. Therefore, a systematic analytical approach is required to classify students’ academic achievement objectively and accurately. This study aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in classifying the academic achievement of grade III students at SMAS BPD Tobelo Selatan. A data mining approach using classification techniques was applied, involving 17 attributes as predictor variables and two target classes of academic achievement, namely Very Good and Good. Data processing and model evaluation were conducted using the WEKA software, with performance measured through accuracy, precision, recall, and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The results indicate that the SVM algorithm achieves the best performance in terms of accuracy, precision, and recall, each reaching 97.78%, while the Naive Bayes algorithm obtains the highest AUC-ROC value of 98.08%. These findings demonstrate that SVM is superior in prediction accuracy, whereas Naive Bayes shows excellent capability in class discrimination. This study is expected to support data-driven academic decision-making in school environments.

PENGARUH DISIPLIN KERJA TERHADAP KINERJA PEGAWAI PADA KANTOR SATUAN POLISI PAMONG PRAJA (SATPOL PP) PROVINSI MALUKU Gea, Visi Wantri; Sahertian, Olivia Laura; Luturmas, Join Rachel
Jurnal Administrasi Terapan Vol. 5 No. 1 (2026): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v5i1.3767

This study aims to determine how work discipline affects employee performance at Satpol PP of Maluku Province. This research is based on the importance of discipline as a key factor in improving work effectiveness, since good discipline creates order, responsibility, and compliance with regulations, which in turn impacts employee performance. The research method used is a quantitative method with an associative approach. The population of this study consists of all employees of the Satpol PP of Maluku Province, with the sampling technique carried out using purposive sampling. The research instrument is a questionnaire, while the data analysis technique applies simple linear regression analysis with the help of SPSS software.The results of this study indicate that work discipline has a positive and significant effect on employee performance atSatpol PP of Maluku Province. The higher the level of discipline possessed by employees, the better their performance will be. Work discipline contributes 69.5% to the improvement of employee performance, thus it can be concluded that discipline is an important factor in enhancing work effectiveness. Keywords: Work Discipline, Performance.

Pengaruh Kualitas Pelayanan Dan Kepuasan Pelanggan Terhadap Loyalitas Pelanggan Pada Usaha Jasa Salon Di Kota Ambon Luturmas, Join Rachel
Jurnal Administrasi Terapan Vol. 2 No. 1 (2023): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v2i1.1380

This study aims to examine the effect of service quality on customer satisfaction and customer loyalty as well as the effect of customer satisfaction on customer loyalty. The development of the Salon Service Industry in Ambon city has increased competition for salon services. Heterogeneous customers, workers who already have experience and high competence move, usually the salon customers also move. Service providers must recruit new people who are not necessarily quickly accepted by customers. Besides the lack of participation in seminars, courses, and exhibitions related to the salon business in order to follow development trends and increase expertise. Respondents in this study were salon customers at middle to upper-class salons in Ambon City, with a total of 150 respondents. The analysis used in testing data quality is validity and reliability analysis. Hypothesis testing is done using multiple regression analysis The regression test results show that service quality has a positive effect on customer loyalty as well as customer satisfaction has a positive effect on customer loyalty. Â Keywords: Service Quality, Customer Satisfaction, Customer Loyalty

Analisa Break Even Point Produk Jus Pala Pada UD. Tomasiwa Desa Morela Kecamatan Leihitu Matuankotta, Febiola; Luturmas, Join Rachel
Jurnal Administrasi Terapan Vol. 2 No. 2 (2023): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v2i2.1709

The purpose of this study is to calculate and analyze the Break Even Point (BEP) or principal return point in UD. Tomasiwa Morela Village, Leihitu District. UD. Tomasiwa is a business in the beverage industry that produces nutmeg juice. The production process started in 2008 until now.The analysis used in this study is Break Even Point Analysis (BEP), namely BEP in units and BEP in rupiah. From the calculation results, it was found that BEP in units (Q) amounted to 58,548 units and BEP in Rp (QP) amounted to Rp.352,723,270, - From the results of the BEP analysis or the principal return point is expected UD. Tomasiwa can be used as an input in developing company activities, especially in knowing the amount of nutmeg juice that must be produced.UD. Tomasiwa has basically produced and sold nutmeg juice in a state beyond the Break Even Point or sales above the Breakeven point, it's just that the company does not have an effective production planning method so that the company has not been able to determine the minimum sales that must be achieved. By planning a profit of 15%, UD earned. Tomasiwa will get a profit of Rp.405,631,760.50 So if UD. Tomasiwa can achieve the profit target of 15%, then UD. Tomasiwa must sell as many as 185,586 units or Rp. 405,631,760.50 But the otherwise, if UD. Tomasiwa sells below the target volume, so the profit obtained does not reach 15%.Keywords: Break Even Point

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