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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Jurnal Abdimas Hawari International Journal of Economic, Technology and Social Sciences (Injects) International Journal of Society and Law International Journal of Management, Economic and Accounting
Rahmat Hidayat
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Model of Blue Ocean Strategy Developing a Bamboo Small Business in Medan City Samrin; Hasrul Azwar Hasibuan; Rahmat Hidayat; Rusiadi
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 3 No. 2 (2022): October 2022
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.021 KB) | DOI: 10.53695/injects.v3i2.789

Abstract

The research objective is to analyze the Blue Oceans Strategy method approach to improve strategy development for the Small and Medium Bamboo Industry in Medan City. Woven crafts are one of the most abundant businesses in the SME sector, both rattan and bamboo handicrafts have dominated the activities of SMEs in Medan City . The woven crafts are spread in 5 (five) sub-districts in Medan City. The method of analysis in this study uses a Structural Equation Modeling (SEM) approach, in forming a strategy for developing SMEs and Bamboo cooperatives with the ocean strategy and blue ocean strategy models in Medan City. The competitive strategy used by the Small and Medium Shell Industry in Medan City at this time is to identify competitive factors in the industry which consist of product uniqueness, a touch of art, done in detail, proximity to sources of raw materials, strategic location, availability of labor, Creativity, Prices are not fixed on market prices, Can be used as souvenirs, Skills and skills of employees, Attractiveness and impact after participating in exhibitions, Sensitivity to market choices, Organizational commitment, Work environment, Availability of online order facilities, Experience and managerial skills, Product orders completed on time.
Analysis of Hedging and Profit of Indonesian Manufacturing Companies Rahmat Hidayat; Hasrul Azwar Hasibuan; Samrin
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 3 No. 2 (2022): October 2022
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (657.898 KB) | DOI: 10.53695/injects.v3i2.790

Abstract

This research aim to test and know clearly“ Analyze hedging to increase profit manufacture company in Bursa Efect Indonesia 2013-2016. This research used quantitative methods that involved 12 company. The data was collected by financial statement from Bursa Efect Indonesia. Data were analyzed using a statistical formula, namely by using pane and ardll regression analysis of the processing performed by eviews versy 7..Resultsofregression analysisis :Y =378,46 + 165.86X1+9.74X2+1.85X3 + e. The result of quantitative analysis showed that as simultant DER, ROA, dan CR have influent to Profit. As partial DER and ROA have no significant influence to profit but CR have significant influence to Profit.
Analysis Of The Influence Of Work Experience And Organisational Climate On Employee Performance, With Performance Benefits As An Intervening Variable In The Office Of Customs And Excise Supervision And Services Rahmat Hidayat; Isa Indrawan; Kiki Farida Ferine
International Journal of Society and Law Vol. 2 No. 1 (2024): April 2024
Publisher : Yayasan Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/ijsl.v2i1.89

Abstract

The research was conducted to see the influence of work experience and organizational climate on employee performance with performance allowances as an intervening variable at the Medan City Customs and Excise Supervision and Service Office. This research used a quantitative type of research. This research was carried out at the location where the research was carried out at the Medan City Customs and Excise Supervision and Service Office. The population used was 131 employees and the sampling technique used was the Slovin technique so that the sample used was 99 employees, the data collection technique used was questionnaire distribution, the research model used was analysis method and the measuring instrument used the Smart PLS version 3.0. The results of this research are as follows: Organizational climate has a positive and significant effect on employee performance with an original sample value of 0.568 and a p value of 0.000. Organizational climate has a positive and significant effect on performance allowances with a sample value of 0.792 and a p value of 0.000. Work Experience has a positive and insignificant effect on Employee Performance with an original sample value of 0.123 and a p value of 0.062. Work Experience has a positive and insignificant effect on Performance allowances with an original sample value of 0.154 and a p value of 0.093. Performance allowances have a positive and significant effect on employee performance with an original sample value of 0.295 and a p value of 0.001. Organizational climate has a positive and significant effect on employee performance through performance allowances with an original sample value of 0.234 and a p value of 0.002. Work Experience has a positive and insignificant effect on Employee Performance through performance allowances with an original sample value of 0.045 and a p value of 0.175.
PENGUATAN LITERASI SPIRITUAL-DIGITAL BERBASIS TASAWUF DALAM MENGHADAPI PERUBAHAN PERILAKU DI ERA METAVERSE: KAJIAN KONSEPTUAL PADA IKHWAN MASJID DARUL AMIN MEDAN Syarifuddin; Rahmat Hidayat; Akhmad Taufik
Jurnal Abdimas HAWARI : Jurnal Pengabdian Kepada Masyarakat Vol 6 No 1 (2026): Mei 2026
Publisher : CV. HAWARI

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Abstract

Perkembangan metaverse memperluas kemungkinan interaksi, pembelajaran, ekonomi, dan ekspresi identitas melalui lingkungan virtual yang imersif. Namun, intensitas pengalaman digital juga dapat memunculkan distraksi, eskapisme, kaburnya batas identitas, penurunan disiplin waktu, serta persoalan etika interaksi. Artikel ini bertujuan merekonstruksi konsep energi metafisika menjadi sumber daya spiritual-etis yang dapat dipertanggungjawabkan secara akademik dan merumuskan model literasi spiritual-digital berbasis tasawuf bagi komunitas Ikhwan Masjid Darul Amin Medan. Penelitian menggunakan pendekatan kualitatif-konseptual melalui tinjauan literatur integratif, analisis isi, dan refleksi kontekstual terhadap tradisi pembinaan spiritual di lingkungan masjid. Hasil sintesis menunjukkan bahwa pengaruh teknologi terhadap perilaku tidak bersifat deterministik, tetapi dipengaruhi tujuan penggunaan, durasi, kualitas konten, pengendalian diri, dan dukungan sosial. Artikel ini menawarkan Model LESDITA yang mencakup orientasi tauhid, muhasabah digital, muraqabah dan kendali diri, disiplin waktu dan ibadah, etika interaksi virtual, serta pendampingan komunitas. Model tersebut menempatkan tasawuf bukan sebagai penolakan terhadap teknologi, melainkan sebagai kerangka etik untuk menggunakan teknologi secara sadar, proporsional, kritis, dan bertanggung jawab. Kontribusi artikel terletak pada integrasi kajian metaverse, literasi digital, dan pembinaan spiritual Islam dalam kerangka yang operasional untuk pendidikan masyarakat berbasis masjid.
Optimizing Human Resource Management in Improving the Quality of Academic and Non-Academic Services in Private Universities (Case Study at Universitas Pembangunan Panca Budi) Rahmat Hidayat; Efrizal Adil lubis
International Journal of Management, Economic and Accounting Vol. 3 No. 6 (2025): December 2025
Publisher : Yayasan Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/03jgmj39

Abstract

Universities as educational service providers are required to provide the best service to create satisfaction for stakeholders, especially students. Universitas Pembangunan Panca Budi (UNPAB) as one of the leading private universities in North Sumatra is not spared from this challenge. This article discusses problems related to internal services and policies that have the potential to harm students, which if not addressed will have an impact on the reputation and sustainability of the institution. Using the perspective of Human Resource Management (HRM), this article offers a strategic solution that focuses on improving the competence and commitment of education staff (Tendik) and lecturers. The solutions offered include strengthening service excellence-based soft skills training, implementing a transparent reward and sanction system, and evaluating policies based on student participation. The implementation of the right MSDM strategy is expected to be able to transform the campus bureaucracy to be more responsive and in favor of student needs.
Analisis Anomali Nilai Akademik Mahasiswa Berbasis Transformasi Wavelet untuk Mendukung Evaluasi Pembelajaran dan Konsistensi Kelulusan Yulianus Zai; Rahmat Hidayat; Oktavia Tumangger; Solahuddin Asri Ritonga; Rian Farta Wijaya; Zulham Sitorus
Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan Vol. 6 No. 1 (2026): Edisi September 2026
Publisher : Utiliti Project Solution

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Abstract

Sistem penilaian akademik di perguruan tinggi memiliki aturan kelulusan yang ketat, salah satunya mewajibkan mahasiswa mengikuti Ujian Akhir Semester (UAS). Namun, ditemukan fenomena inkonsistensi pada data nilai di salah satu perguruan tinggi swasta di Medan, di mana sejumlah mahasiswa dinyatakan lulus meskipun nilai UAS-nya sama dengan nol akibat kelalaian dosen dalam penginputan nilai. Penelitian ini bertujuan mendeteksi anomali tersebut secara otomatis menggunakan Transformasi Wavelet Diskrit (DWT) dengan filter Daubechies-4 (db4) level 4. Data nilai mahasiswa diperlakukan sebagai sinyal satu dimensi, kemudian dianalisis menggunakan dekomposisi wavelet untuk menghasilkan koefisien detail yang merepresentasikan fluktuasi lokal. Deteksi anomali dilakukan berdasarkan threshold 2,5 kali standar deviasi koefisien detail level pertama, dikombinasikan dengan verifikasi aturan akademik (UAS=0 dan nilai akhir lebih dari sama dengan 60). Pengujian dilakukan pada dua dataset: 569 data dari satu periode akademik dan 1.791 data dari 26 mata kuliah dan 90 kelas pada periode berikutnya. Hasil menunjukkan metode ini berhasil mendeteksi seluruh mahasiswa anomali secara akurat, dengan konsistensi 100% antara implementasi Python dan RStudio. Penelitian ini membuktikan bahwa Transformasi Wavelet dapat diterapkan sebagai mekanisme deteksi anomali data akademik yang efektif untuk mendukung evaluasi pembelajaran dan menjamin konsistensi kelulusan.
ANALISIS SENTIMEN TERHADAP ULASAN PENGGUNA APLIKASI RUMAH PENDIDIKAN DI PLAYSTORE MENGGUNAKAN ALGORITMA NAIVE BAYES Abdul Razaq; Rahmat Hidayat; Ryan Fahreza Pasaribu; Zulham Sitorus
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4935

Abstract

Abstract: The development of digital technology has led to the emergence of various educational applications that play an important role in supporting the teaching and learning process. One of the most widely used applications is Rumah Pendidikan, which provides a variety of online learning features. However, user perceptions and experiences of this application vary greatly, requiring a systematic analysis to determine public sentiment towards the application. This study aims to apply the Naive Bayes Classifier algorithm in analyzing user sentiment reviews of the Rumah Pendidikan application on the Google Playstore platform. The data, consisting of 284 reviews, was classified into three sentiment categories, namely positive, negative, and neutral. The analysis process included data cleaning, tokenization, stopword removal, and TF-IDF vectorization before classification. The results show that the Naive Bayes algorithm is capable of classifying sentiment with an accuracy of 78.95%, a precision value of 72%, a recall of 67%, and an F1-score of 70%. These findings indicate that the Naive Bayes approach is effective in identifying user sentiment towards the Rumah Pendidikan application. The findings of this analysis can be used by developers as a basis for consideration in improving the quality of the application and user satisfaction in the future.Keyword: Sentiment Analysis, Naive Bayes, Rumah Pendidikan Application, Google Play Store Abstrak: Perkembangan teknologi digital telah mendorong munculnya berbagai aplikasi pendidikan yang berperan penting dalam mendukung proses belajar-mengajar. Salah satu aplikasi yang banyak digunakan adalah Rumah Pendidikan, yang menyediakan beragam fitur pembelajaran daring. Meskipun demikian, persepsi dan pengalaman pengguna terhadap aplikasi ini sangat beragam, sehingga diperlukan analisis yang sistematis untuk mengetahui sentimen masyarakat terhadap aplikasi tersebut. Penelitian ini bertujuan untuk menerapkan algoritma Naive Bayes Classifier dalam menganalisis sentimen ulasan pengguna terhadap aplikasi Rumah Pendidikan pada platform Google Playstore. Data yang terdiri atas 284 ulasan diklasifikasikan ke dalam tiga kategori sentimen, yaitu positif, negatif, dan netral. Proses analisis meliputi tahap data cleaning, tokenization, stopword removal, serta TF-IDF vectorization sebelum dilakukan klasifikasi. Hasil penelitian menunjukkan bahwa algoritma Naive Bayes mampu mengklasifikasikan sentimen dengan akurasi sebesar 78.95%, nilai precision sebesar 72%, recall sebesar 67%, dan F1-score sebesar 70%. Temuan ini menunjukkan bahwa pendekatan Naive Bayes mampu bekerja secara efektif dalam mengidentifikasi sentimen pengguna terhadap aplikasi Rumah Pendidikan. Temuan analisis tersebut dapat dimanfaatkan oleh pengembang sebagai dasar pertimbangan dalam meningkatkan kualitas aplikasi dan tingkat kepuasan pengguna di masa mendatang.Kata kunci: Analisis Sentimen, Naive Bayes, Rumah Pendidikan, Playstore
Co-Authors Abdul Razaq Akhmad Taufik Efrizal Adil lubis Hasrul Azwar Hasibuan Isa Indrawan Kiki Farida Ferine Oktavia Tumangger Rian Farta Wijaya Ryan Fahreza Pasaribu Samrin Samrin Sitorus, Zulham Solahuddin Asri Ritonga Syarifuddin Yulianus Zai