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SUPPLY CHAIN RISK MANAGEMENT IN THE FERTILIZER COMPANY USING INTERPRETIVE STRUCTURAL MODELLING (ISM) AND HOUSE OF RISK (HOR) Savitri, Niken Anggraini; Kusumawardani, Rindi; Ramadani, Nabila
JISO : Journal of Industrial and Systems Optimization Vol. 8 No. 1 (2025): Juni 2025
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v8i1.104-111

Abstract

ABSTRAK Pertanian memegang peran penting di Indonesia, khususnya dalam pembangunan ekonomi. Untuk memastikan keberlanjutan sektor pertanian di Indonesia, potensi risiko terhadap keseluruhan proses produksi dan distribusi harus dikelola dengan tepat. Pupuk merupakan salah satu komponen kunci yang sangat dibutuhkan dalam kegiatan agraria. Namun, risiko dalam rantai pasok pupuk dapat mempengaruhi ketersediaan produk dan perlu dimitigasi untuk memastikan aliran produk yang efektif dan efisien. Penelitian ini bertujuan untuk mengidentifikasi risiko dalam rantai pasok pupuk dan keterkaitan antara risiko tersebut. Dengan menggunakan studi kasus PT X, salah satu perusahaan pupuk di Indonesia, penelitian ini mengevaluasi kejadian dan penyebab risiko tersebut, mengidentifikasi area prioritas untuk manajemen risiko, dan memberikan rekomendasi untuk tindakan mitigasi risiko dalam proses bisnis PT X. Model Supply Chain Operations Reference (SCOR) digunakan untuk mengidentifikasi proses bisnis dalam rantai pasokan PT X. Dari proses bisnis, 46 peristiwa risiko diidentifikasi. Setelah itu, Interpretive Structural Modeling (ISM) dilakukan untuk menilai keterkaitan antara elemen risiko dan menentukan elemen risiko prioritas di antara peristiwa risiko. Proses ini menghasilkan 21 peristiwa risiko prioritas utama. Peristiwa risiko ini kemudian diprioritaskan menggunakan House of Risk (HOR) Tahap I, yang menghasilkan tiga agen risiko prioritas. Langkah terakhir adalah HOR Tahap II, di mana enam tindakan preventif dirumuskan sebagai strategi mitigasi risiko. ABSTRACT Agriculture holds a critical role in Indonesia, particularly in economic development. To ensure the sustainability of the agricultural sector in Indonesia, potential risks to the overall production and distribution processes must be appropriately managed. Fertilizer is one key component that is fundamentally required in agrarian activities. However, risks in the fertilizer supply chain could affect the availability of the product and need to be mitigated to ensure the effective and efficient flow of the product. This research aims to identify the risks in the fertilizer supply chain and the interrelationships between these risks. Using a case study of PT X, one of the fertilizer companies in Indonesia, this research evaluates the occurrences and causes of these risks, identifies priority areas for risk management, and provides recommendations for risk mitigation actions in PT X's business processes. The Supply Chain Operations Reference (SCOR) model is used to identify the business processes in PT X's supply chain. From the business process, 46 risk events are identified. Afterward, Interpretive Structural Modeling (ISM) is performed to assess the interrelationships between the risk elements and determine the priority risk elements among the risk events. This results in 21 key priority risk events. These risk events are then prioritized using House of Risk (HOR) Phase I, which results in three priority risk agents. The final step is HOR Phase II, where six preventive actions are formulated as risk mitigation strategies.
The Integrating Islamic Values in The Mathematics Education Curriculum at UIN Saizu Purwokerto Ulpah, Maria; Setiani, Riris Eka; Ramadani, Nabila
Circle: Jurnal Pendidikan Matematika Vol 5 No 2 (2025): September 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/circle.v5i2.11738

Abstract

Integrating Islamic values ​​in the mathematics education curriculum is an effort to form mathematical concepts with ethical and spiritual principles in Islam. This approach aims to provide a more holistic learning experience, developing cognitive skills and shaping students’ character and morals. This integration also encourages the understanding that mathematics is abstract and closely related to everyday life and Islamic teachings. By adopting this approach, mathematics education can be more relevant, meaningful, and contribute to forming students who are knowledgeable and have noble character. This study aims to analyze the integration of Islamic values ​​in the Mathematics Education curriculum. The data collection methods in this study are documentation of the Mathematics Education study program curriculum, guidelines for compiling an integrative curriculum, learning observations and interviews with lecturers and students. Data analysis techniques include data reduction, data presentation and drawing conclusions and verification. This study concludes that the integration of Islamic values ​​in the mathematics education curriculum starts from determining the profile of graduates, learning outcomes, the learning process and evaluation. In the learning process, this integration can be applied in creating teaching materials, the application of thematic and contextual learning and research by lecturers or students.
Syntactic Analysis in WhatsApp Conversations Among Peers Siregar, Ummi Aisyah; Ramadani, Nabila; Siregar, Fariza Putri Ramadhani
Jurnal Hata Poda Vol 4, No 2 (2025)
Publisher : Universitas Islam Negeri Syekh Ali Hasan Ahmad Addary Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/hatapoda.v4i2.19083

Abstract

Sentence structure in WhatsApp conversations among peers is usually simple, brief, and tends to be informal, with frequent use of single sentences that are flexible and do not always follow standard grammar. Communication through WhatsApp prioritizes fluency, speed, and expressive intimacy over adherence to formal grammatical structures. This study uses a literature review method as the main technique for data collection. The data analysis technique in this study uses a qualitative approach focusing on the analysis of content and sentence structure comprehensively. Data is obtained from WhatsApp conversation transcripts arranged according to the conversation context, and then analyzed descriptively by identifying various forms of sentence structures according to syntactic theory. A qualitative analysis of the syntactic aspects in sentence structures in WhatsApp conversations among peers shows that the sentences used are generally short and incomplete. The use of elliptical sentences, which are sentences that omit elements such as the subject or predicate, is very common in these interactions. This phenomenon reflects a tendency to convey messages briefly and effectively, in line with the characteristics of digital communication that demand speed and efficiency in delivering information. The language style used in these conversations is casual and informal. Therefore, the results of this study confirm that sentence structures in WhatsApp conversations among peers are more flexible and functional compared to the formal sentence structures typically found in official or academic communication.